{"id":"W6939028188","doi":"10.6068/dp14ba8f0bad06","title":"Most Recent Data (2003). Statistics Canada. CANSIM: Environment - Natural Resources | Country: Canada | Table: Survey of innovation, selected service industries, percentage of total revenues from the sale of products to the mining and/or forestry and/or forest products industries | Variable: Forestry and/or forest products industry, Other scientific and technical consulting services, 50% to 74% of revenues, Innovative business units | Units: %, 2003. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-086.","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; Natural resource; Official statistics; Census; Summary statistics; Descriptive statistics; Service (business); Unit (ring theory)","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":[0.002163638,0.002406813,0.002725646,0.00905002,0.003526713,0.004920831,0.00506559,0.001621239,0.09568311],"category_scores_gemma":[0.02103293,0.001728835,0.002068181,0.05317961,0.0007196314,0.002387255,0.002208951,0.00318289,0.05695605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06285471,"about_ca_system_score_gemma":0.1572995,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959149,"about_ca_topic_score_gemma":0.9942955,"domain_scores_codex":[0.9950284,0.0002819458,0.0005802236,0.0005688209,0.002440527,0.001100015],"domain_scores_gemma":[0.9531907,0.001816502,0.001216192,0.001157489,0.04074391,0.001875296],"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":[0.00001804073,0.000006601899,0.0008533354,0.000215252,0.00001488229,0.000005367152,0.00001706278,0.00009231724,0.000006799413,0.0002403202,0.9974254,0.001104578],"study_design_scores_gemma":[0.0001854227,0.00001160911,0.02851562,0.0008541913,0.00007565139,0.00002194931,0.0005454523,0.0004211278,0.0001710344,0.0005698838,0.9685379,0.00009012047],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004264137,0.00003991269,0.00001322323,0.0001047345,0.00002025402,0.0000109743,0.9989681,0.00003914829,0.0007609774],"genre_scores_gemma":[0.0008123195,0.0002636814,0.000318894,0.0001693234,0.0000164125,0.0001139003,0.9943271,0.00008576336,0.003892733],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09568311,"threshold_uncertainty_score":0.456045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04302132191228598,"score_gpt":0.2506414163689443,"score_spread":0.2076200944566583,"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."}}