{"id":"W2921738486","doi":"10.2139/ssrn.3260911","title":"Defining Corporate Law Oppression","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Legal principles and applications","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Oppression; Law; Political science; Sociology; Law and economics; Politics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008247124,0.000692282,0.001061055,0.005006563,0.01392105,0.02075356,0.002234065,0.008062704,0.008275186],"category_scores_gemma":[0.01372172,0.000538619,0.0007250361,0.002404079,0.08564954,0.01384405,0.01596233,0.01148387,0.0009633147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00729927,"about_ca_system_score_gemma":0.008171356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00479615,"about_ca_topic_score_gemma":0.004892059,"domain_scores_codex":[0.9866599,0.005059417,0.0005799225,0.001547503,0.002847608,0.003305634],"domain_scores_gemma":[0.9916763,0.003907319,0.0008050361,0.001323258,0.001532019,0.0007560181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000001434746,0.000006072686,0.00007287881,0.000004182055,9.456083e-7,0.00003188792,0.001410744,0.00002117069,0.00003237526,0.9971438,0.0003857773,0.0008887291],"study_design_scores_gemma":[0.000006168016,0.00001320098,0.0003540326,0.0001012582,0.000007458846,0.0000882914,0.005383807,0.0001908377,0.0002839463,0.968249,0.02531052,0.00001156441],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05983691,0.001747862,0.0220573,0.0229008,0.0004909165,0.0001311112,0.00004494803,0.00005027387,0.8927399],"genre_scores_gemma":[0.9647766,0.0004881559,0.002446102,0.003854959,0.0002563083,0.0001613208,0.00002575745,0.00004470448,0.02794608],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02075356,"threshold_uncertainty_score":0.05296022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02484755818108262,"score_gpt":0.3128909074728011,"score_spread":0.2880433492917184,"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."}}