{"id":"W7133284190","doi":"","title":"Metrics report for milestone- making climate change science more open and accessible","year":2023,"lang":"en","type":"other","venue":"Federal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Government of Canada","keywords":"Climate change; Climate science; Work (physics); Field (mathematics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","open_science"],"consensus_categories":[],"category_scores_codex":[0.02018877,0.002914507,0.001558445,0.01530155,0.003720574,0.01117765,0.004762151,0.0037735,0.07817553],"category_scores_gemma":[0.06682473,0.001465194,0.001563445,0.01592371,0.001042303,0.006057904,0.005683449,0.004222836,0.06983405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02489218,"about_ca_system_score_gemma":0.1292027,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5839162,"about_ca_topic_score_gemma":0.5281151,"domain_scores_codex":[0.9577329,0.00271262,0.002352831,0.001165738,0.03238402,0.003651843],"domain_scores_gemma":[0.8394603,0.004620606,0.004866798,0.004051351,0.1315669,0.015434],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003134878,0.00004365259,0.0007072465,0.0001721901,0.00001189313,0.00001022161,0.0000347301,0.0003355411,0.0001398745,0.005308362,0.9732815,0.01992347],"study_design_scores_gemma":[0.0000437746,0.00005078999,0.007979253,0.0003463876,0.00003158835,0.00002707908,0.0001779316,0.001183957,0.0008586273,0.002808066,0.9864281,0.00006438802],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.003526166,0.00242629,0.02387544,0.03423279,0.006039708,0.002910102,0.4711101,0.02725495,0.4286244],"genre_scores_gemma":[0.03128884,0.004677513,0.08366386,0.007450432,0.001001939,0.004802902,0.50971,0.01204717,0.3453574],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9952378,"threshold_uncertainty_score":0.8370684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03630875674235385,"score_gpt":0.3196143929764584,"score_spread":0.2833056362341046,"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."}}