{"id":"W6958213080","doi":"10.6068/dp14ba8f9a30a0","title":"Most Recent Data (2005). Statistics Canada. CANSIM: Science and Technology - Innovation | Country: Canada | Table: Survey of innovation, logging and manufacturing industries, percentage of plants' total expenditures on raw materials and components that were supplied from different locations | Variable: Raw materials and components supplied from the rest of Canada, Furniture and related product manufacturing, Average percent of total expenditures, Innovative plants | Units: %, 2005. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-181.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Census; Summary statistics; Product (mathematics); Raw data; Official statistics; Publication; Business statistics; Statistical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005627812,0.0004076887,0.0006696007,0.0001509958,0.000153026,0.00007870367,0.0006884636,0.0003060127,0.0002086055],"category_scores_gemma":[0.00008437465,0.0003354777,7.071964e-8,0.00007337523,0.0005215586,0.00004269807,0.0009806951,0.000295165,5.436147e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009362074,"about_ca_system_score_gemma":0.004747049,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952913,"about_ca_topic_score_gemma":0.9712892,"domain_scores_codex":[0.996992,0.0002232543,0.0009043052,0.0009094386,0.0006461376,0.0003248956],"domain_scores_gemma":[0.9970201,0.0001638607,0.001196411,0.00137282,0.0001373815,0.0001094421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003150634,0.00004243292,0.0002418276,0.00015562,0.0001673709,0.000007450578,0.000003734155,0.000005552817,0.1025297,0.00004576493,0.8964148,0.00007065367],"study_design_scores_gemma":[0.001090115,0.00004310147,0.008735939,0.0001319746,0.0000648328,0.00003890119,0.0004796051,0.00004059512,0.01559989,5.226755e-7,0.9734182,0.0003563293],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.06882787,0.0007378518,0.000003757584,0.00001449503,0.0003263075,0.0006105659,0.9294565,0.000005424794,0.00001722206],"genre_scores_gemma":[0.2088188,0.001027665,0.00001446493,0.00003876596,0.00003146439,0.000006299378,0.7899797,0.00003599082,0.00004687927],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1399909,"threshold_uncertainty_score":0.9999097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02683667981937961,"score_gpt":0.242770757821464,"score_spread":0.2159340780020844,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}