{"id":"W4365142251","doi":"10.1515/iupac.94.0645","title":"Magnetization Transfer","year":2023,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Molecular spectroscopy and chirality","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Terminology; Abandonment (legal); Meaning (existential); Field (mathematics); Epistemology; Computer science; Chemistry; Linguistics; Philosophy; Mathematics; Political science; Law; Pure mathematics","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":[0.000861629,0.002602029,0.001637649,0.002538474,0.001199236,0.002426966,0.003247543,0.002123735,0.1457275],"category_scores_gemma":[0.00503852,0.000738885,0.00165454,0.003521248,0.0003762995,0.001948963,0.001908934,0.002035117,0.2570164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001313099,"about_ca_system_score_gemma":0.001657433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01304818,"about_ca_topic_score_gemma":0.03178737,"domain_scores_codex":[0.9992199,0.0001350261,0.00008445095,0.000290975,0.0001654269,0.0001042146],"domain_scores_gemma":[0.9984604,0.0003839484,0.0001423163,0.0005646831,0.0003513286,0.00009729026],"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":[0.0001050354,0.00002756955,0.0005226433,0.0009016065,0.00003852016,0.00002398358,0.00001759994,0.0003691366,0.0003488296,0.000507181,0.989668,0.007469845],"study_design_scores_gemma":[0.0002501762,0.00004010863,0.003336361,0.00047103,0.00005422761,0.0001285746,0.00004637321,0.001025718,0.001352079,0.004598575,0.9886435,0.00005345256],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002232126,0.0002610325,0.0003268745,0.00009172876,0.00005362926,0.00002276143,0.9955469,0.001558804,0.001915053],"genre_scores_gemma":[0.0004970124,0.0001459269,0.0006385187,0.00008707446,0.00001347907,0.00009249047,0.9968764,0.0001574237,0.00149163],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1457275,"threshold_uncertainty_score":0.4875071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01123052272193213,"score_gpt":0.3802857426510134,"score_spread":0.3690552199290812,"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."}}