{"id":"W4248497722","doi":"10.1515/iupac.83.0134","title":"OHP","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Glossary; Chemical nomenclature; Photocatalysis; Compendium; Terminology; Chemistry; Nanotechnology; Catalysis; Materials science; Organic chemistry; History; Philosophy; Archaeology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009534232,0.002078779,0.001389191,0.00414893,0.001036174,0.003558019,0.002323798,0.001593316,0.23127],"category_scores_gemma":[0.007381514,0.0005903547,0.001581261,0.007135593,0.0003721322,0.002860322,0.002878845,0.001815652,0.3470416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001404186,"about_ca_system_score_gemma":0.002312608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01425343,"about_ca_topic_score_gemma":0.02514466,"domain_scores_codex":[0.9984653,0.0002396148,0.0002327082,0.000523972,0.0003273828,0.0002110522],"domain_scores_gemma":[0.9973078,0.000623051,0.0003256648,0.0006927885,0.0008136838,0.0002370941],"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":[0.00007681914,0.0000164749,0.0006978096,0.0009686574,0.00002256362,0.00001633102,0.0000221652,0.0001156065,0.0001074544,0.0006807889,0.9923292,0.004946256],"study_design_scores_gemma":[0.0001134915,0.00001518532,0.002041929,0.0004166088,0.00001794223,0.00004412477,0.0000716474,0.0001515346,0.0001817739,0.001255991,0.9956712,0.00001860303],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000658727,0.00006624989,0.00006216778,0.00005392014,0.00002462107,0.00001396827,0.997971,0.0002757221,0.001466491],"genre_scores_gemma":[0.0002086566,0.00007716561,0.0002342847,0.00007182309,0.00001036699,0.00007356925,0.997852,0.00008897179,0.001383209],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.76873,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01688713984122295,"score_gpt":0.4297221708364484,"score_spread":0.4128350309952254,"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."}}