{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007411393,0.001299559,0.001041244,0.002888916,0.0007187006,0.002867105,0.001884572,0.00155387,0.2120852],"category_scores_gemma":[0.01232847,0.0003750236,0.001309161,0.004256658,0.00041217,0.00230722,0.00212537,0.001349871,0.1695355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001003133,"about_ca_system_score_gemma":0.001618654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01139483,"about_ca_topic_score_gemma":0.02739793,"domain_scores_codex":[0.9988067,0.0002033374,0.0002467538,0.0003032121,0.0002775542,0.0001624997],"domain_scores_gemma":[0.9969115,0.001056923,0.0003827712,0.000599748,0.0008532106,0.0001959147],"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":[0.0001327108,0.0000224272,0.001484181,0.001374006,0.00002179032,0.00003026897,0.00002833547,0.0001523734,0.00005013913,0.0006740143,0.9793016,0.01672819],"study_design_scores_gemma":[0.0001092345,0.00002086453,0.004445337,0.0007424095,0.00002200311,0.000115788,0.0001311929,0.0002114573,0.0001208723,0.00171546,0.9923422,0.00002315255],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003762172,0.0005404957,0.0002662207,0.0002531891,0.0001381309,0.00007487676,0.9899158,0.0006409935,0.007794031],"genre_scores_gemma":[0.002219897,0.0006750496,0.001179788,0.0005158331,0.00006709211,0.0003378805,0.9886001,0.0001816081,0.00622274],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2120852,"threshold_uncertainty_score":0.7094957,"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."}}