{"id":"W2962915015","doi":"","title":"10 years after Cameron: have we made gains in improving disclosure practices in Newfoundland and Labrador?","year":2018,"lang":"en","type":"article","venue":"The Journal of Macrodynamic Analysis (Memorial University of Newfoundland)","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Geography","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":[0.01081653,0.0002090389,0.0003078132,0.0006177998,0.006931571,0.005747497,0.001827374,0.003204166,0.005395353],"category_scores_gemma":[0.02689065,0.0002678953,0.0002816482,0.001314129,0.004591041,0.004361459,0.003370003,0.005293528,0.0003107044],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05411905,"about_ca_system_score_gemma":0.07897873,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9034026,"about_ca_topic_score_gemma":0.9657954,"domain_scores_codex":[0.9922023,0.002246734,0.0001927816,0.0004406565,0.0006408112,0.004276721],"domain_scores_gemma":[0.9733859,0.007860992,0.005266304,0.001181129,0.005076663,0.007228844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001738271,0.0006329474,0.3950407,0.0004975429,0.0001687101,0.003815676,0.1379081,0.001235459,0.002611756,0.09704891,0.1533339,0.2059683],"study_design_scores_gemma":[0.0001179573,0.0002461748,0.5548183,0.001511152,0.0001590835,0.0004371964,0.2080298,0.0005581733,0.002151596,0.003512136,0.228236,0.0002224101],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7087895,0.006595709,0.0004661639,0.2634843,0.000613655,0.00005059329,0.0004688157,0.00002560132,0.01950556],"genre_scores_gemma":[0.9569554,0.00142687,0.0005097036,0.02321881,0.0001045222,0.00003937357,0.0001530126,0.00001455122,0.01757781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9458809,"threshold_uncertainty_score":0.3926631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01458516980831206,"score_gpt":0.2682215541910297,"score_spread":0.2536363843827177,"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."}}