{"id":"W2301452080","doi":"","title":"Making the Common Good Common","year":2015,"lang":"en","type":"article","venue":"Intersections Canadian Journal of Music","topic":"Legal Education and Practice Innovations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001197734,0.0000495792,0.00007891599,0.0002745777,0.0008080529,0.0002809328,0.0003019776,0.00004514147,0.000667021],"category_scores_gemma":[0.0006958576,0.00004007884,0.00005843748,0.0006330423,0.0001964732,0.0005422165,0.000006371394,0.0005210458,0.0000542959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004440322,"about_ca_system_score_gemma":0.004149399,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2447497,"about_ca_topic_score_gemma":0.9018935,"domain_scores_codex":[0.9990765,0.0002673224,0.0002486601,0.00004608568,0.0001882611,0.0001731962],"domain_scores_gemma":[0.9987558,0.0001660071,0.0002251161,0.0001164683,0.0004347668,0.0003019011],"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":[0.00001326242,0.00004753687,0.02085185,0.000001937303,0.00007742443,0.00003586671,0.2861087,0.0001445593,0.000006529321,0.1230627,0.5592017,0.01044796],"study_design_scores_gemma":[0.00008717205,0.00003589514,0.002238863,0.00002004474,0.00001920565,0.00009991239,0.09306274,0.000008165839,0.000002330148,0.002530692,0.9018465,0.00004845838],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3722477,0.0002287671,0.0002763215,0.17297,0.01038388,0.0001447323,0.000008098307,0.00001745148,0.4437231],"genre_scores_gemma":[0.9952025,0.000002244608,0.00008263786,0.002817881,0.0007357459,0.000002172025,7.038906e-7,0.000005728925,0.001150424],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6571438,"threshold_uncertainty_score":0.7602796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1663833352700228,"score_gpt":0.3935733161518743,"score_spread":0.2271899808818515,"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."}}