{"id":"W4248787563","doi":"10.1515/iupac.81.0504","title":"Law of Frequence","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":"Glossary; Ecotoxicology; Relation (database); Computer science; Ecology; Biology; Data mining; Philosophy; Linguistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007307332,0.001456634,0.002280127,0.008839113,0.001890715,0.009601101,0.003561832,0.003142335,0.08538466],"category_scores_gemma":[0.106601,0.001062639,0.002115586,0.01279952,0.002284284,0.01085795,0.003290336,0.005283223,0.06485144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003010832,"about_ca_system_score_gemma":0.002858734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009031304,"about_ca_topic_score_gemma":0.009206573,"domain_scores_codex":[0.9858363,0.002173697,0.002480818,0.004029613,0.004472852,0.001006755],"domain_scores_gemma":[0.9563558,0.02679535,0.002199909,0.009534425,0.004426023,0.000688469],"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":[0.000432485,0.0001160744,0.01897329,0.001170013,0.000146066,0.0002704808,0.0003515466,0.00383996,0.0003950491,0.06406937,0.8301461,0.08008957],"study_design_scores_gemma":[0.000421313,0.00006880961,0.01206575,0.0006755891,0.0000632743,0.001465465,0.0003629617,0.01294482,0.0008176258,0.1399202,0.8310829,0.0001111967],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01282404,0.005091609,0.02868069,0.005203731,0.001998872,0.0004124905,0.8826396,0.006939068,0.0562099],"genre_scores_gemma":[0.1009321,0.004696352,0.02594442,0.003649208,0.001382975,0.002119955,0.8319222,0.003556816,0.02579601],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08538466,"threshold_uncertainty_score":0.2856402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01366292840113582,"score_gpt":0.3839548593689563,"score_spread":0.3702919309678205,"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."}}