{"id":"W4252085549","doi":"10.1515/iupac.88.1173","title":"Paramesonephric Duct","year":2017,"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":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Data mining; Philosophy","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":[0.0009718538,0.0008454536,0.001354909,0.003265446,0.0005018399,0.001773446,0.001214917,0.0006764167,0.09344006],"category_scores_gemma":[0.008647668,0.0004471722,0.001246022,0.004297324,0.0003358569,0.001344943,0.001546952,0.001483809,0.04139715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008425954,"about_ca_system_score_gemma":0.00220107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008056826,"about_ca_topic_score_gemma":0.01280747,"domain_scores_codex":[0.9989078,0.0001658711,0.0002859852,0.0003313518,0.0002136332,0.00009526299],"domain_scores_gemma":[0.9963319,0.001435431,0.0006550103,0.0008044702,0.0005785759,0.0001946714],"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":[0.0006003763,0.00003272819,0.01696847,0.00592499,0.0002646105,0.0004318863,0.0000685942,0.0007617879,0.0005004362,0.00205463,0.8909394,0.08145209],"study_design_scores_gemma":[0.0002048474,0.00003805556,0.0299273,0.002642139,0.0001462484,0.002179255,0.0001125157,0.000294585,0.0004751234,0.00293428,0.9609966,0.00004909689],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009917065,0.001609949,0.0006367799,0.0001827722,0.00008362631,0.00007333738,0.9895089,0.0003421169,0.006570866],"genre_scores_gemma":[0.005694799,0.002321643,0.002030952,0.0004687001,0.00005869329,0.0002944594,0.9853644,0.0001696433,0.003596741],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09344006,"threshold_uncertainty_score":0.3125882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0202370632028249,"score_gpt":0.4126084300663872,"score_spread":0.3923713668635623,"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."}}