{"id":"W4253671630","doi":"10.1515/iupac.81.0612","title":"Montreal Protocol","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Space exploration and regulation","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Protocol (science); Computer science; Medicine; Pathology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003079741,0.00242104,0.001760491,0.008257567,0.001432158,0.004730901,0.003353619,0.001941867,0.3399068],"category_scores_gemma":[0.02122804,0.001005984,0.001804314,0.009871533,0.0008764693,0.002461377,0.003715743,0.002438297,0.4891746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0019015,"about_ca_system_score_gemma":0.006056839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03111358,"about_ca_topic_score_gemma":0.06818312,"domain_scores_codex":[0.9967644,0.0006649231,0.0004014459,0.0008370067,0.0007667055,0.0005655079],"domain_scores_gemma":[0.988636,0.002058842,0.0007060064,0.003990574,0.003220313,0.00138842],"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":[0.00003597189,0.000008884932,0.0001742711,0.0001054693,0.000006665933,0.000004590968,0.000007675025,0.00005274019,0.00002576844,0.0002717564,0.9980549,0.001251257],"study_design_scores_gemma":[0.0001505987,0.00001351112,0.001089243,0.0001762147,0.0000117918,0.00001931583,0.00005427808,0.0001489763,0.0001323316,0.001317437,0.9968674,0.00001894226],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005376888,0.00004304354,0.0000909302,0.0000819951,0.00006611132,0.00003046254,0.9966285,0.0005715772,0.002433678],"genre_scores_gemma":[0.0002422397,0.00005209919,0.0003326949,0.0001101393,0.00002465881,0.0001849403,0.9942117,0.0003137845,0.004527667],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3399068,"threshold_uncertainty_score":0.9415428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01192496793898713,"score_gpt":0.4037512217479172,"score_spread":0.3918262538089301,"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."}}