{"id":"W6920503765","doi":"10.6068/dp14ba7cd020d84","title":"Most Recent Data (2005). Statistics Canada. CANSIM: Science and Technology - Innovation | Country: Canada | Table: Survey of innovation, logging and manufacturing industries, percentage of the plant's total revenue that came from other plants in the firm | Variable: Aerospace product and parts manufacturing, 0% of the plant's total revenue, All 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":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Revenue; Census; Official statistics; Product (mathematics); Summary statistics; Descriptive statistics; Publication; Business statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002328785,0.002576645,0.002921877,0.01016282,0.004215984,0.0056827,0.005321142,0.00164158,0.1013419],"category_scores_gemma":[0.02185103,0.001854336,0.002064676,0.05432978,0.0007631232,0.002684241,0.002386938,0.003311891,0.06531695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0692734,"about_ca_system_score_gemma":0.1667857,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957118,"about_ca_topic_score_gemma":0.9938387,"domain_scores_codex":[0.9941083,0.0003068038,0.0006463263,0.0006363697,0.002935893,0.00136633],"domain_scores_gemma":[0.9484239,0.001807978,0.001344186,0.001168813,0.04517848,0.002076672],"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":[0.00001722203,0.000006948825,0.0007958894,0.0002131374,0.00001310073,0.000005682949,0.00001923704,0.00008469504,0.000007378921,0.0002623531,0.9973323,0.001242032],"study_design_scores_gemma":[0.0001527072,0.00001309135,0.02768801,0.0008201847,0.00006922966,0.00002271481,0.0006019732,0.0003389975,0.0001737616,0.0005236569,0.9695087,0.00008689002],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004611024,0.00004464626,0.00001615165,0.0001131395,0.00002201191,0.00001195489,0.9988446,0.00004570313,0.0008556898],"genre_scores_gemma":[0.0007687918,0.0002829387,0.0003333737,0.0001756468,0.00001781514,0.0001097936,0.9935353,0.00009317221,0.004683149],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1013419,"threshold_uncertainty_score":0.502616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04461363869905187,"score_gpt":0.2502188905868548,"score_spread":0.2056052518878029,"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."}}