{"id":"W4254069040","doi":"10.1515/iupac.79.2065","title":"Subfertility","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Stereochemistry Studies","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Hazard; Toxicology; Chemistry; Philosophy; Biology; 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":[0.001619037,0.0019972,0.001913079,0.005212347,0.001032274,0.003307828,0.002708254,0.001909521,0.151389],"category_scores_gemma":[0.01510752,0.0005571762,0.002349179,0.006995469,0.0004175619,0.002058359,0.002211456,0.001549502,0.132372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001564703,"about_ca_system_score_gemma":0.003272881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0144617,"about_ca_topic_score_gemma":0.029888,"domain_scores_codex":[0.9979318,0.0004090136,0.0003291587,0.0006634117,0.0004105767,0.0002559956],"domain_scores_gemma":[0.9953105,0.001787827,0.0005038441,0.00103715,0.001056992,0.0003038423],"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":[0.0001697376,0.00002318738,0.002039751,0.002223651,0.00009080547,0.00004157457,0.00002987361,0.0002590478,0.0001096683,0.0008378098,0.9866831,0.007491748],"study_design_scores_gemma":[0.0003140423,0.00002833822,0.004135491,0.0008056906,0.0000947781,0.0001129629,0.00006211895,0.0002782186,0.0001924997,0.001759997,0.9921849,0.00003095782],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001554463,0.0002914727,0.00008698944,0.00009649242,0.00003852087,0.00002429464,0.9977481,0.0002569625,0.001301671],"genre_scores_gemma":[0.000594178,0.0002311172,0.0003521946,0.0001731254,0.00002145336,0.000163739,0.997201,0.00008096152,0.001182233],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.151389,"threshold_uncertainty_score":0.5064466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01567989722385612,"score_gpt":0.3814848453058906,"score_spread":0.3658049480820345,"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."}}