{"id":"W374979886","doi":"","title":"Minor use and globalization canadian perspective(Minor Uses and Globalization,3) Regulatory Science and Residues)","year":2011,"lang":"en","type":"article","venue":"Nippon Nōyaku Gakkaishi","topic":"Quality and Management Systems","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Minor (academic); Globalization; Perspective (graphical); Political science; Law; Computer science","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":[0.001403666,0.0006662082,0.0004051902,0.002760899,0.009931822,0.009240353,0.0009847981,0.006162332,0.009018737],"category_scores_gemma":[0.001806555,0.0003319099,0.0005578878,0.004277144,0.01420901,0.005097206,0.002074045,0.004708298,0.0004396968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05401256,"about_ca_system_score_gemma":0.04849057,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9323827,"about_ca_topic_score_gemma":0.9647637,"domain_scores_codex":[0.9981553,0.0003439166,0.00007454975,0.0002204827,0.0005904374,0.0006153183],"domain_scores_gemma":[0.9987285,0.0002490211,0.0001219497,0.00005045424,0.0006273508,0.0002227896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001242059,0.00002144046,0.0004956288,0.00007190419,0.000005151894,0.0001435738,0.004352911,0.0001311968,0.0001735414,0.9496696,0.03701972,0.007903063],"study_design_scores_gemma":[0.00001197433,0.00001657405,0.006829385,0.0003048332,0.00002082038,0.0001773812,0.006596508,0.0002677847,0.0002371176,0.09945469,0.8860246,0.00005830985],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02166295,0.08782051,0.001812524,0.2797624,0.003078421,0.00004598189,0.0006869538,0.00003253783,0.6050978],"genre_scores_gemma":[0.5149627,0.0743357,0.002468978,0.05386505,0.003831345,0.00005233305,0.0002253502,0.00007579414,0.3501827],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0676173,"threshold_uncertainty_score":0.3918903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04656993709565081,"score_gpt":0.2330554144235311,"score_spread":0.1864854773278803,"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."}}