{"id":"W6963762322","doi":"10.25318/2710025601-eng","title":"Innovation, logging and manufacturing industries, percentage of plants with research and development services","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Logging; Wood industry; Forest industry; Production (economics)","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":[0.0009271319,0.001651005,0.001693183,0.006835852,0.001287976,0.002464211,0.003327943,0.001467965,0.0528334],"category_scores_gemma":[0.008343934,0.0009126111,0.0015651,0.01745442,0.0004641783,0.001363,0.001401833,0.002060658,0.02778003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008656732,"about_ca_system_score_gemma":0.01794911,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8643042,"about_ca_topic_score_gemma":0.899094,"domain_scores_codex":[0.9984406,0.00008555642,0.0002080107,0.0003174614,0.000560444,0.0003878406],"domain_scores_gemma":[0.9918503,0.0008408877,0.0008896285,0.0004930448,0.005321728,0.0006043523],"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":[0.00003394008,0.00001336357,0.003030207,0.000457092,0.00003496833,0.00001060832,0.00001785378,0.0002044759,0.00002326343,0.0003837267,0.9947636,0.001026856],"study_design_scores_gemma":[0.0005113817,0.00002436801,0.08098082,0.0008174822,0.0001270691,0.00005901844,0.0003607728,0.0007432248,0.0002924188,0.0007553935,0.9152557,0.0000722421],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009285229,0.0000320014,0.00001432764,0.00003076221,0.000009329658,0.000005707246,0.9994799,0.00002750772,0.0003076199],"genre_scores_gemma":[0.0007486681,0.00009136985,0.0001225212,0.00004717781,0.00000933133,0.00005664395,0.9970854,0.00002489266,0.001813885],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1356958,"threshold_uncertainty_score":0.2729899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03110591263989172,"score_gpt":0.3117414976039095,"score_spread":0.2806355849640178,"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."}}