{"id":"W4253764409","doi":"10.1515/iupac.81.0325","title":"Environmental Availability","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"History and advancements in chemistry","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Environmental science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002276855,0.0005511438,0.0005395201,0.00003727615,0.0001698148,0.00002292286,0.0006572498,0.0005568636,0.1725949],"category_scores_gemma":[0.0002428351,0.0004725738,0.0002161307,0.00003614902,0.0004250153,0.00008892413,0.0002573438,0.0007116135,0.00002042498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001733867,"about_ca_system_score_gemma":0.0003326463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006456645,"about_ca_topic_score_gemma":0.00001858236,"domain_scores_codex":[0.997103,0.000021111,0.0005572088,0.0008165442,0.001032223,0.0004698812],"domain_scores_gemma":[0.9978172,0.00008362779,0.0003168047,0.001515984,0.00004467057,0.00022171],"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":[0.000106528,0.0004520564,0.000022348,0.0004433956,0.0000829882,0.00006514423,0.000005166594,3.026252e-7,0.005048171,3.163469e-7,0.9893168,0.004456828],"study_design_scores_gemma":[0.0007578351,0.00002219555,0.000001306538,0.0002762894,0.00008337772,0.00001332319,0.00002103596,2.817544e-7,0.005362177,0.00005192112,0.9928502,0.0005600414],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007986226,0.0008031067,0.00001164031,0.00004906145,0.0004385794,0.00006339893,0.9966884,0.00007661831,0.00107059],"genre_scores_gemma":[0.00008268536,0.0007282389,0.00003256843,0.0001063145,0.001225132,0.00001949367,0.989122,0.00004589852,0.008637642],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1725745,"threshold_uncertainty_score":0.9997726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01016956177903328,"score_gpt":0.3491594291264886,"score_spread":0.3389898673474553,"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."}}