{"id":"W4251150015","doi":"10.1515/iupac.83.0392","title":"Inactive","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Glossary; Context (archaeology); Computer science; Field (mathematics); Multidisciplinary approach; Process (computing); Data science; Management science; Sociology; Engineering; Biology; Linguistics; Mathematics; Social science","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":[0.001430423,0.001690851,0.001255899,0.002884003,0.001340075,0.004218149,0.002404135,0.001664426,0.2271145],"category_scores_gemma":[0.009861368,0.0007012048,0.00147611,0.00493949,0.0004585884,0.003018807,0.002683099,0.001935734,0.3129841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001627727,"about_ca_system_score_gemma":0.002526789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01809946,"about_ca_topic_score_gemma":0.030861,"domain_scores_codex":[0.997448,0.0003608581,0.0003871887,0.0008853245,0.0006106456,0.0003080045],"domain_scores_gemma":[0.995237,0.0008353019,0.000491973,0.00166386,0.001420739,0.0003511057],"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":[0.00009161649,0.00001939381,0.002120999,0.0004478809,0.00002004007,0.00001877928,0.00003988664,0.00009387985,0.0001053756,0.001380967,0.9882168,0.007444388],"study_design_scores_gemma":[0.00007015772,0.00001352229,0.004176796,0.0003197715,0.00001794285,0.000072307,0.0001035737,0.0001456673,0.0002233609,0.001601908,0.993236,0.00001887146],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003618839,0.0001245621,0.0002534268,0.0001506438,0.00008274785,0.00003821832,0.9907525,0.0006387137,0.007597231],"genre_scores_gemma":[0.0007760928,0.0001017903,0.0004024324,0.0002081644,0.00001911206,0.00009833977,0.9933118,0.0001582626,0.004923997],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2271145,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01605609916578714,"score_gpt":0.4319606390399025,"score_spread":0.4159045398741154,"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."}}