{"id":"W4237684563","doi":"10.1515/iupac.88.1023","title":"Megadactyly","year":2017,"lang":"hu","type":"dataset","venue":"IUPAC Standards Online","topic":"Environmental and Sediment Control","field":"Environmental Science","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; Philosophy; Data mining","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":[0.0007417557,0.0009143136,0.001002937,0.003344076,0.0006210015,0.001427291,0.001361714,0.0009351417,0.1070678],"category_scores_gemma":[0.007097151,0.0003959025,0.001096771,0.005293256,0.0004257884,0.001233167,0.001455561,0.001173428,0.04235442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000892918,"about_ca_system_score_gemma":0.001741711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01536352,"about_ca_topic_score_gemma":0.02709185,"domain_scores_codex":[0.9990873,0.0001446511,0.0002512193,0.0002484302,0.0001697951,0.00009859521],"domain_scores_gemma":[0.9974601,0.0008469055,0.0006144173,0.0004861656,0.0004559683,0.0001365286],"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":[0.0002176568,0.00001592578,0.007037362,0.003430938,0.00007798766,0.0001133673,0.00005813979,0.0001918354,0.0001705953,0.001454701,0.9663164,0.02091518],"study_design_scores_gemma":[0.000115489,0.0000185446,0.01923699,0.001836095,0.00006166789,0.0003176794,0.0001245697,0.0001095772,0.0001747101,0.001618219,0.9763595,0.0000269168],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005724211,0.0006836624,0.0001694672,0.0001714841,0.00007619859,0.00003335887,0.9945491,0.0001452291,0.00359914],"genre_scores_gemma":[0.003058328,0.001183564,0.0008613689,0.0003300831,0.00004129961,0.0002308991,0.9904676,0.00010547,0.003721419],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1070678,"threshold_uncertainty_score":0.3581777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01070468467583423,"score_gpt":0.3714670613884639,"score_spread":0.3607623767126296,"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."}}