{"id":"W2245227172","doi":"10.2139/ssrn.2022555","title":"Alberta MLA Compensation in Perspective and Recommendations for Changes","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Legal Education and Practice Innovations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fraser Institute; Simon Fraser University","funders":"","keywords":"Perspective (graphical); Compensation (psychology); Business; Computer science; Psychology; Social psychology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01221914,0.0007600231,0.0009017101,0.004546802,0.007593283,0.01680681,0.006227253,0.03416242,0.06590579],"category_scores_gemma":[0.04131576,0.0007861314,0.001419402,0.003358011,0.003288731,0.006177666,0.003339872,0.01501877,0.006103524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02764654,"about_ca_system_score_gemma":0.1276203,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5924562,"about_ca_topic_score_gemma":0.7595611,"domain_scores_codex":[0.9806392,0.002859097,0.0009759498,0.001191491,0.009231854,0.005102539],"domain_scores_gemma":[0.9769098,0.004716284,0.000629234,0.0008131226,0.01168891,0.005242687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008540411,0.0001142305,0.001675676,0.0001289841,0.00002538996,0.0003307628,0.0005321857,0.000562067,0.0002561392,0.06745035,0.9003499,0.02848896],"study_design_scores_gemma":[0.0001134462,0.0000636171,0.009362169,0.0007797697,0.00006575242,0.000181721,0.003095838,0.001002629,0.0005128355,0.01971785,0.9649584,0.0001458941],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.006413464,0.005485991,0.001088784,0.7271426,0.01622981,0.0001952103,0.001376042,0.0003946304,0.2416735],"genre_scores_gemma":[0.1078107,0.005493895,0.00677681,0.3615985,0.005626444,0.0002570754,0.001342471,0.0002468716,0.5108473],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4075438,"threshold_uncertainty_score":0.8198879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04466685341904159,"score_gpt":0.3989797047774688,"score_spread":0.3543128513584272,"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."}}