{"id":"W7096690132","doi":"","title":"MESSAGE FROM THE REGIONAL GROWTH MONITORING ADVISORY COMMITTEE","year":2006,"lang":"en","type":"article","venue":"","topic":"Qualitative Comparative Analysis Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mandate; Scope (computer science); Advisory committee; Work (physics); Sustainability; Test (biology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01653987,0.0008511847,0.0006549416,0.0009971947,0.003412148,0.005379868,0.002374958,0.01226767,0.02187341],"category_scores_gemma":[0.0353294,0.0006084311,0.0008547699,0.0008595781,0.001186008,0.004271991,0.003505653,0.01994833,0.01340556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004036927,"about_ca_system_score_gemma":0.01141607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01036553,"about_ca_topic_score_gemma":0.009608086,"domain_scores_codex":[0.9921511,0.001868686,0.0005916858,0.001193896,0.003455178,0.0007394626],"domain_scores_gemma":[0.9685304,0.005728886,0.002036495,0.001512795,0.01632664,0.005864871],"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":[0.00002192492,0.00001252724,0.0002069032,0.00004358042,0.000002481347,0.00005371583,0.0001096207,0.00003267792,0.0001576318,0.001196391,0.9931463,0.005016215],"study_design_scores_gemma":[0.00000643266,0.00001221924,0.0009197709,0.00008955798,0.000004682975,0.00004155783,0.0002764661,0.00007880876,0.0002301719,0.0003790603,0.9979451,0.00001624581],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.001024864,0.001501863,0.001265699,0.9211823,0.06130072,0.0001562124,0.0006222173,0.000365119,0.012581],"genre_scores_gemma":[0.01651917,0.001993748,0.004651105,0.7916855,0.03191861,0.000793974,0.0009390819,0.0005079893,0.1509908],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02187341,"threshold_uncertainty_score":0.08747226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.133461907659695,"score_gpt":0.4235279400018355,"score_spread":0.2900660323421405,"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."}}