{"id":"W6976612016","doi":"10.6068/dp14ba8d7d65277","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 whose operations are in geographical location(s) of other plants and operations in the firm | Variable: Plants part of a larger firm, Other plants and operations in the United States, Miscellaneous manufacturing, 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":"Philosophy and Social Theory","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Census; Official statistics; Publication; Summary statistics; Business statistics; Logging; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00228687,0.002517648,0.003092339,0.01085341,0.004010181,0.005940318,0.005230248,0.001703935,0.09486266],"category_scores_gemma":[0.023289,0.0018307,0.002080285,0.06318999,0.0007716873,0.002750021,0.002399458,0.003368943,0.05714673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06784809,"about_ca_system_score_gemma":0.174733,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952374,"about_ca_topic_score_gemma":0.9927458,"domain_scores_codex":[0.9934743,0.0003379676,0.0007591641,0.0006619432,0.003332365,0.001434173],"domain_scores_gemma":[0.9450666,0.002026475,0.00150209,0.001205383,0.04811456,0.002084867],"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":[0.0000195276,0.000008085144,0.0008831368,0.000242398,0.00001567262,0.000005644286,0.00001959597,0.00009398338,0.000006982356,0.0002985157,0.9971542,0.00125224],"study_design_scores_gemma":[0.0001584498,0.00001404744,0.02865392,0.0008298289,0.0000781464,0.00002259666,0.000648699,0.0003478566,0.0001789314,0.000539458,0.9684402,0.00008782926],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004953998,0.0000478079,0.00001478047,0.0001130286,0.00002286082,0.0000122418,0.9988647,0.00004357901,0.0008314965],"genre_scores_gemma":[0.0008149109,0.0003025198,0.0003125592,0.0001758773,0.00001839051,0.0001076953,0.9937419,0.00008228201,0.004443913],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09486266,"threshold_uncertainty_score":0.4922747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04602004810879369,"score_gpt":0.2821853930304271,"score_spread":0.2361653449216334,"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."}}