{"id":"W6901721924","doi":"10.6068/dp14ba8c213c576","title":"Most Recent Data (2005). Statistics Canada. CANSIM: Science and Technology - Research and Development | Country: Canada | Table: Survey of innovation, logging and manufacturing industries, percentage of plants with expenditures on research and development services that were supplied from different locations | Variable: From province or territory, Other wood product manufacturing, 0% of expenditures, Innovative plants | Units: %, 2005. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-182.","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; Census; Official statistics; Summary statistics; Publication; Product (mathematics); Statistical analysis; Logging; National accounts","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":[0.002426961,0.002508114,0.002892067,0.00995193,0.003884458,0.005370298,0.00517568,0.001720446,0.106038],"category_scores_gemma":[0.02310002,0.001779603,0.002098188,0.05278875,0.0007369276,0.00270161,0.002312381,0.003363918,0.06291927],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06315779,"about_ca_system_score_gemma":0.1592184,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945129,"about_ca_topic_score_gemma":0.9923867,"domain_scores_codex":[0.9942372,0.0003149432,0.0006730851,0.0006273867,0.002834467,0.001312924],"domain_scores_gemma":[0.9492486,0.001897825,0.001378836,0.001151129,0.04429652,0.002027027],"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":[0.00001760655,0.000006555727,0.0007748011,0.0002301729,0.00001374655,0.000005537285,0.00001712275,0.00008264149,0.000006775907,0.0002526742,0.9974765,0.001115787],"study_design_scores_gemma":[0.000174686,0.0000136179,0.02744832,0.0009052703,0.00007448727,0.00002542777,0.0005606363,0.0003217413,0.0001718728,0.0005596042,0.9696591,0.00008522117],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004149675,0.00004598482,0.0000143268,0.0001057098,0.00002293568,0.0000121796,0.9989799,0.00003657363,0.0007409485],"genre_scores_gemma":[0.0007429475,0.0002992303,0.0003129233,0.0001758648,0.00001962577,0.0001225493,0.9939766,0.000084003,0.00426614],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9368422,"threshold_uncertainty_score":0.458244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.079311915623282,"score_gpt":0.3047265523370669,"score_spread":0.2254146367137849,"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."}}