{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001550433,0.0003027693,0.0003283224,0.0001105496,0.0001034859,0.00006887284,0.0001984422,0.0001446747,0.01152293],"category_scores_gemma":[0.00001531517,0.0002068918,0.0001472109,0.0001022332,0.00006309028,0.0001197653,0.00006605969,0.000213626,0.000009690355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001011013,"about_ca_system_score_gemma":0.0004400348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002678208,"about_ca_topic_score_gemma":0.0002849045,"domain_scores_codex":[0.9984915,0.00005367136,0.0003135871,0.0003250063,0.0005686962,0.0002475611],"domain_scores_gemma":[0.9988205,0.00002457438,0.0002698865,0.0004900724,0.0002809229,0.00011401],"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":[0.00007150462,0.0001639307,0.00003322638,0.00002492825,0.00006058222,0.000002067396,0.000008473217,0.000003370277,0.000003660783,0.00009208418,0.9858925,0.01364363],"study_design_scores_gemma":[0.001332262,0.00007236709,0.00006156538,0.0001281406,0.00003248958,4.067536e-7,0.00002819531,0.00001282269,0.0000297821,0.0008994085,0.9971277,0.0002748487],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002915341,0.00000407934,0.001180342,0.0004451609,0.0002687517,0.01773297,0.9798446,0.00004145265,0.0004797868],"genre_scores_gemma":[0.000008413139,0.000001728117,0.00002474487,0.00003801857,0.002480117,0.01408647,0.9814401,0.00002628255,0.001894139],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01336879,"threshold_uncertainty_score":0.9893807,"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."}}