{"id":"W4231116616","doi":"10.1515/iupac.87.0499","title":"Pain, Phantom","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Laser Material Processing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Relation (database); Computer science; Psychology; Chemistry; Linguistics; Philosophy; Data mining; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007263862,0.0004760571,0.0005288929,0.000186272,0.00005396751,0.0001154221,0.0005559335,0.0004445945,0.001860005],"category_scores_gemma":[0.0003008714,0.000371756,0.00009335463,0.0001266339,0.00008035643,0.0001303137,0.0001138636,0.000321418,0.000004383131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004057211,"about_ca_system_score_gemma":0.0001816973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003244407,"about_ca_topic_score_gemma":0.0001001945,"domain_scores_codex":[0.9981688,0.00006183417,0.0004066568,0.0003224146,0.0006074066,0.0004329029],"domain_scores_gemma":[0.9987726,0.00005894307,0.00008784657,0.0007340297,0.0002224378,0.0001241374],"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":[0.00001971217,0.00002730806,3.688333e-7,0.0005867302,0.00005414021,0.00004059832,0.000003404065,0.000002997073,0.0002029508,0.000001230199,0.9929746,0.006085944],"study_design_scores_gemma":[0.0002447461,0.0000709977,7.770547e-7,0.0007631311,0.00004571896,0.000006723197,0.000001640211,0.00004770569,0.001164637,0.0004974537,0.9966524,0.0005041225],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002652438,0.0006789155,0.003862791,0.0001043922,0.001039264,0.0001825943,0.9924026,0.001640364,0.0000625817],"genre_scores_gemma":[0.00005480576,0.001053234,0.0003036521,0.0001668472,0.001175281,0.00002666095,0.9970257,0.0001106034,0.00008317564],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.005581821,"threshold_uncertainty_score":0.9998735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009382967693026965,"score_gpt":0.34956193023794,"score_spread":0.340178962544913,"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."}}