{"id":"W6945499908","doi":"10.25545/gnb97l/j4hhju","title":"Over35d.txt","year":2025,"lang":"en","type":"dataset","venue":"UNB Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Saint John Regional Hospital; University of New Brunswick","funders":"","keywords":"Process (computing); Identification (biology); Product (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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001432395,0.004543301,0.002204868,0.005006079,0.001273734,0.004994357,0.003903575,0.003435377,0.2944702],"category_scores_gemma":[0.007492458,0.00131397,0.002087834,0.0087246,0.000845193,0.003320024,0.003729005,0.002413191,0.4172324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001902075,"about_ca_system_score_gemma":0.00241037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02342185,"about_ca_topic_score_gemma":0.03207096,"domain_scores_codex":[0.9984863,0.0002686409,0.0001525975,0.0004871775,0.0003215164,0.0002837676],"domain_scores_gemma":[0.9972567,0.000758794,0.000184657,0.0008571138,0.0006150107,0.000327854],"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":[0.00004079202,0.000009974413,0.00008686139,0.0003444014,0.00001291281,0.000007141191,0.00001292876,0.0001058134,0.00005756461,0.0002284751,0.9980063,0.001086819],"study_design_scores_gemma":[0.0002041459,0.00002110646,0.0007641287,0.0001924565,0.00001761648,0.00002818824,0.00005247231,0.0003367098,0.000346481,0.001471902,0.9965364,0.00002840263],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004689955,0.00006012226,0.00005811144,0.00007344566,0.00004161926,0.00001042357,0.9971898,0.001365842,0.001153776],"genre_scores_gemma":[0.0002010928,0.00005560244,0.0002032798,0.00007149047,0.00001262679,0.00004737395,0.9979799,0.0004326436,0.000995977],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7055298,"threshold_uncertainty_score":0.9851008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01391775573684591,"score_gpt":0.2788842851900437,"score_spread":0.2649665294531978,"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."}}