{"id":"W7082055091","doi":"10.5281/zenodo.15685554","title":"Health Information Research Unit - Multilabel purpose; All publication types; All purposes; 2025","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Chemistry Education and Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Impact","funders":"","keywords":"Unit (ring theory); Health information; Information system; Feature (linguistics); MEDLINE","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","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004678687,0.0002471163,0.0002974363,0.001439963,0.003507102,0.002383771,0.002326383,0.0004191913,0.08421808],"category_scores_gemma":[0.004383544,0.000274543,0.00008291925,0.002101734,0.000629299,0.0004873284,0.001154498,0.001119997,0.02607004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009343256,"about_ca_system_score_gemma":0.0003636947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00375642,"about_ca_topic_score_gemma":0.00007523656,"domain_scores_codex":[0.9945174,0.001738263,0.0005085567,0.0005820865,0.001639069,0.001014652],"domain_scores_gemma":[0.9953629,0.0001043714,0.0003241422,0.0008767641,0.002738363,0.0005934219],"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":[0.00001919688,0.0001525659,0.000001188622,0.0002402707,0.00005961416,9.578218e-7,0.003044472,0.000001063942,0.00003136541,0.01611684,0.8471128,0.1332197],"study_design_scores_gemma":[0.0003866312,0.00006344623,0.00002983451,0.0001383126,0.000009724693,0.000003674658,0.001994935,0.00003416343,0.00002554443,0.0001809453,0.9969002,0.0002325699],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0000120454,0.0004041518,0.0002691841,0.02626277,0.0002975005,0.00169449,0.0005678048,0.001181322,0.9693108],"genre_scores_gemma":[0.001269436,0.003293267,0.000282265,0.001001875,0.0006339969,0.000001169794,0.01381887,0.001723503,0.9779756],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1497874,"threshold_uncertainty_score":0.9999707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09928513813603315,"score_gpt":0.3879820976262381,"score_spread":0.288696959490205,"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."}}