{"id":"W570262939","doi":"","title":"CANADA UNION TARGETS TOYOTA","year":2004,"lang":"en","type":"article","venue":"Automotive News","topic":"New Zealand Economic and Social Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Political 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001351879,0.0001257063,0.0003040773,0.00004244478,0.0001835758,0.00002417074,0.0001324996,0.00005354513,0.0002579476],"category_scores_gemma":[0.0000545005,0.0001421523,0.00006516436,0.00009863853,0.00003791656,0.0001370701,0.0000486923,0.00009533031,0.0004671365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005342647,"about_ca_system_score_gemma":0.0001396258,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8287588,"about_ca_topic_score_gemma":0.6816682,"domain_scores_codex":[0.9990886,0.000007763335,0.0003117976,0.0002776924,0.00002197169,0.0002921482],"domain_scores_gemma":[0.9995872,0.00001919482,0.0001472427,0.0001440087,0.00002169915,0.00008066872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001056132,0.000123043,0.1694086,0.00001726484,0.0002374199,0.00003005688,0.002002753,0.0007019231,0.000003827096,0.7379372,0.08622147,0.00330594],"study_design_scores_gemma":[0.0008701395,0.00004626992,0.1756029,0.000006970969,0.00000387651,0.000001678305,0.000350173,0.00002047329,0.00007918334,0.07645806,0.7462412,0.0003189902],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4942557,0.003517543,0.002079447,0.02479862,0.002810589,0.0004085712,0.0004315934,0.0001334713,0.4715645],"genre_scores_gemma":[0.9943578,0.000309605,0.000132921,0.00184521,0.0001980368,0.00001078631,0.00001345125,0.00001569715,0.003116457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6614791,"threshold_uncertainty_score":0.600425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0182222806433117,"score_gpt":0.1929136164925534,"score_spread":0.1746913358492417,"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."}}