{"id":"W2978097176","doi":"","title":"One Step Forward, Two Steps Back: Unjust Enrichment In The Supreme Court Of Canada","year":2004,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Legal principles and applications","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Supreme court; Unjust enrichment; Law; Political science; Restitution","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":[0.0007789453,0.0001675509,0.0002377323,0.0001480991,0.0004504579,0.0001272301,0.001204559,0.00009645303,0.00004539093],"category_scores_gemma":[0.00003430897,0.0001693205,0.0000833231,0.0007596794,0.0002005052,0.0007919697,0.0001783847,0.0003906187,0.00004108136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008806955,"about_ca_system_score_gemma":0.00121964,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09395754,"about_ca_topic_score_gemma":0.9679794,"domain_scores_codex":[0.9978164,0.0002947022,0.0002730809,0.0003349896,0.0007743221,0.0005064603],"domain_scores_gemma":[0.9988856,0.0001286698,0.0001805967,0.0004634368,0.0001460637,0.0001956621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005487559,0.0003860666,0.9531652,0.00004395811,0.00006139635,0.00007196068,0.006429923,0.0004950293,0.0002306145,0.03860078,0.000007258248,0.0004528952],"study_design_scores_gemma":[0.0022783,0.00008650561,0.9145958,0.0001516884,0.000080032,0.000003197623,0.01212063,2.538554e-7,0.0005026099,0.001334643,0.06842255,0.0004238036],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877688,0.00003970617,0.0004650492,0.004077375,0.000105429,0.000550861,0.00004820992,0.00002597003,0.006918652],"genre_scores_gemma":[0.9964722,0.00004685502,0.00008428872,0.0004478627,0.0000802006,0.00000258582,0.00001046403,0.00001323128,0.002842254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8740219,"threshold_uncertainty_score":0.9120759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08300298807878627,"score_gpt":0.3241017000889317,"score_spread":0.2410987120101454,"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."}}