{"id":"W2068035528","doi":"10.1353/cpp.0.0023","title":"Old Wine in New Bottles?: Instrumental Policy Learning and the Evolution of the Certainty Provision in Comprehensive Land Claims Agreements","year":2009,"lang":"fr","type":"article","venue":"Canadian Public Policy","topic":"Mining and Resource Management","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Political science; Opposition (politics); Humanities; Certainty; Ethnology; Philosophy; Law; Sociology; Politics; Epistemology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002854638,0.0002203191,0.0002742392,0.0009734408,0.0001528398,0.00009008952,0.0002872243,0.0001470615,0.00003313952],"category_scores_gemma":[0.0001952402,0.0001663221,0.00006513411,0.001262744,0.0002039877,0.0001160478,0.00009644459,0.0004764404,0.000006643736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00258249,"about_ca_system_score_gemma":0.001626402,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8297254,"about_ca_topic_score_gemma":0.3169367,"domain_scores_codex":[0.9982667,0.0002178819,0.000374515,0.000222764,0.0001956481,0.0007224945],"domain_scores_gemma":[0.999219,0.00004819544,0.00009795885,0.000254558,0.00002533586,0.0003549726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00005966205,0.00008811054,0.2109815,0.0002638541,0.0001284176,0.00002539913,0.01409553,0.01886302,0.0001204106,0.3095564,0.006126056,0.4396916],"study_design_scores_gemma":[0.005629948,0.0001204178,0.7473482,0.0005747359,0.00002449558,0.00002626003,0.003281282,0.03459084,0.00001085236,0.002483102,0.2055595,0.0003503749],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8628298,0.002137727,0.00001419446,0.1207949,0.0001819589,0.0006093961,0.00002207858,0.00001722534,0.01339265],"genre_scores_gemma":[0.9923159,0.0001667172,0.00003063801,0.000764715,0.0004401985,0.000005376773,0.000009708205,0.00001882151,0.006247879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5363667,"threshold_uncertainty_score":0.6955274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007640974277087927,"score_gpt":0.2158095251082295,"score_spread":0.2081685508311416,"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."}}