{"id":"W6945282056","doi":"10.25545/yjrqci/0hi3s2","title":"Alt_rolling.csv","year":2025,"lang":"en","type":"dataset","venue":"UNB Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Process (computing); Work (physics); Identification (biology)","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":[0.001380195,0.003669546,0.002295594,0.003737549,0.001261058,0.003751354,0.003693739,0.002132932,0.2047109],"category_scores_gemma":[0.005413869,0.001317512,0.002608347,0.006482128,0.0005624426,0.002112937,0.002887957,0.002113882,0.3898784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001398227,"about_ca_system_score_gemma":0.001786055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02530352,"about_ca_topic_score_gemma":0.05023337,"domain_scores_codex":[0.9985489,0.0002139966,0.0001412001,0.0005690517,0.0002512845,0.0002755404],"domain_scores_gemma":[0.9979333,0.0003619092,0.0001613804,0.0008527674,0.0005183035,0.0001723491],"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":[0.00003383257,0.0000100345,0.0002800894,0.0002570458,0.00001936637,0.000005510064,0.00001623902,0.0001196056,0.00009085559,0.0002007378,0.9968579,0.002108762],"study_design_scores_gemma":[0.0001654313,0.00001873361,0.003070062,0.0001400064,0.00002859846,0.00003368665,0.00007361358,0.0004950392,0.0006543947,0.001434078,0.993838,0.00004843495],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008481314,0.00004192169,0.0001508572,0.00004255032,0.00005935633,0.00001129422,0.9961984,0.002556095,0.0008547854],"genre_scores_gemma":[0.0004238926,0.00004386677,0.0006430607,0.00004775641,0.00001964494,0.00007452218,0.9966524,0.0007868315,0.001307944],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7952891,"threshold_uncertainty_score":0.6848263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01475453191467688,"score_gpt":0.2814530518550841,"score_spread":0.2666985199404072,"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."}}