{"id":"W6991439551","doi":"","title":"GOVERNOR PHIL SCOTT MEETING WITH QUEBEC PREMIER PHILIPPE COUILLARD TO STRENGTHEN ECONOMIC, SECURITY, ENVIRONMENTAL &amp;amp; ENERGY PARTNERSHIPS","year":2017,"lang":"en","type":"other","venue":"","topic":"Sustainable Development and Environmental Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Governor; Energy (signal processing); Work (physics); Government (linguistics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002786266,0.001020603,0.0007096672,0.0001524747,0.0003690197,0.0002214234,0.001236642,0.0004933857,0.06470726],"category_scores_gemma":[0.00002265746,0.0009164335,0.0001709402,0.00007040663,0.0006526037,0.0003174148,0.001532457,0.0003055948,0.01275316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003291802,"about_ca_system_score_gemma":0.00007756651,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05471158,"about_ca_topic_score_gemma":0.3199685,"domain_scores_codex":[0.9960225,0.00009304142,0.0004278257,0.001430059,0.0008058398,0.001220743],"domain_scores_gemma":[0.9972946,0.00004955175,0.0005095184,0.001496491,0.000001547,0.0006482807],"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":[0.00008045012,0.0001464639,0.01997157,0.00003530029,0.0001916863,0.00002267876,0.0005556584,0.0002805626,0.0001165697,0.0001147451,0.9715223,0.006962073],"study_design_scores_gemma":[0.0006604174,0.00003953336,0.001347773,0.0001207976,0.00006621965,0.00001525892,0.0002304259,0.00001831961,0.0001441296,0.00007772533,0.9959278,0.001351612],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02720773,0.0001896296,0.00003964367,0.0007029761,0.0002359989,0.0007047788,0.0002173784,0.0002264305,0.9704754],"genre_scores_gemma":[0.04000143,0.0004266204,0.001208756,0.0008011801,0.0005541721,0.0001375763,0.0003971824,0.0006416535,0.9558314],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2652569,"threshold_uncertainty_score":0.9993286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01811683009910125,"score_gpt":0.221945696266996,"score_spread":0.2038288661678948,"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."}}