{"id":"W2528000575","doi":"10.3138/9781442683655-010","title":"9. The Ontario Works Program – Mutiny on the Bounty","year":2002,"lang":"en","type":"book-chapter","venue":"University of Toronto Press eBooks","topic":"Military and Defense Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mutiny; History; Aeronautics; Engineering; Ancient history","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":[0.0006769571,0.0004665963,0.0003009949,0.001222337,0.0138383,0.004104061,0.001085609,0.003655469,0.1032355],"category_scores_gemma":[0.001318144,0.0005686599,0.0003994603,0.002218523,0.002755727,0.001712323,0.001850499,0.002344283,0.01450634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04480582,"about_ca_system_score_gemma":0.07534137,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9774868,"about_ca_topic_score_gemma":0.9964104,"domain_scores_codex":[0.9987918,0.00008585784,0.00002209491,0.00007305684,0.0004484819,0.000578719],"domain_scores_gemma":[0.9993712,0.00005396825,0.00002423238,0.00003382526,0.0002910135,0.0002257803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001942212,0.00001269737,0.0006288869,0.000064212,0.000002055368,0.0000850087,0.002555126,0.00003439165,0.00008838772,0.06417497,0.9081092,0.02422564],"study_design_scores_gemma":[0.000001863064,0.000002668374,0.002106598,0.00003399236,0.000001177188,0.00001158844,0.0005922312,0.000008347482,0.00002103907,0.0004166581,0.9968004,0.000003329855],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004102366,0.01101294,0.0002456591,0.03275556,0.001626358,0.0001002277,0.001272149,0.00008849304,0.9487963],"genre_scores_gemma":[0.01072341,0.001692385,0.0001202748,0.002006464,0.00008739188,0.00002548491,0.0001585647,0.00003780597,0.9851482],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1032355,"threshold_uncertainty_score":0.345357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03659165962489057,"score_gpt":0.2276612017666147,"score_spread":0.1910695421417241,"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."}}