{"id":"W14467834","doi":"","title":"China - CN-GEF-Heat Reform : P072721 - Implementation Status Results Report : Sequence 07","year":2011,"lang":"en","type":"article","venue":"Medical services journal, Canada","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sequence (biology); China; Business; Political science; Chemistry; Law","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001392904,0.0002609734,0.0002548707,0.00003144716,0.000446105,0.00005585539,0.0006001508,0.0001206484,0.0269109],"category_scores_gemma":[0.00009238849,0.0002014153,0.00007361113,0.0002376358,0.000209642,0.0006920982,0.0003187128,0.0005684525,0.00005808606],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004690966,"about_ca_system_score_gemma":0.000579156,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9730441,"about_ca_topic_score_gemma":0.9430016,"domain_scores_codex":[0.9956153,0.0001408032,0.0008911524,0.0004234313,0.002017941,0.0009113609],"domain_scores_gemma":[0.9977114,0.00002241038,0.000292086,0.0004852621,0.00001859361,0.00147027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004261247,0.000478273,0.8783561,0.0001714552,0.0001400543,0.014901,0.0108731,0.0001264698,0.0008254844,0.00003140721,0.02599069,0.06767982],"study_design_scores_gemma":[0.0009617421,0.0001952278,0.9063692,0.00003842326,0.00003228273,0.001430887,0.006560824,0.000282012,0.0007381702,0.0004688505,0.08255609,0.0003662646],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719305,0.0000664753,0.00001948461,0.003079534,0.0004384491,0.0002106672,0.00004360016,0.00002465741,0.0241866],"genre_scores_gemma":[0.9966813,0.0002033065,0.0003388231,0.001969344,0.0001077873,0.000008775848,0.00007865178,0.00002073996,0.0005912229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06731356,"threshold_uncertainty_score":0.9991298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01310511022313167,"score_gpt":0.2639860147037211,"score_spread":0.2508809044805895,"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."}}