{"id":"W6908010933","doi":"10.25545/mmnbnm/qkpaqn","title":"082705-rri.csv","year":2025,"lang":"en","type":"dataset","venue":"UNB Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004993555,0.0008022776,0.0007793777,0.0009415995,0.0001941118,0.0001791412,0.002715351,0.0006910565,0.03074148],"category_scores_gemma":[0.0009046232,0.0008317404,0.0002301536,0.00089269,0.0002303095,0.0003797257,0.001984839,0.00118737,0.3187665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004251594,"about_ca_system_score_gemma":0.0006570914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001935927,"about_ca_topic_score_gemma":0.00135063,"domain_scores_codex":[0.9962757,0.0002122401,0.0005954897,0.001261643,0.0008274238,0.0008275486],"domain_scores_gemma":[0.9934441,0.0001865406,0.0003724475,0.005587561,0.0001323476,0.0002770372],"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":[0.00006932276,0.0001724495,0.000002708871,0.0002603345,0.0002249194,0.0004414671,0.000007060401,0.000004519107,0.00001249652,0.00008034841,0.9985633,0.0001610055],"study_design_scores_gemma":[0.000819673,0.00003750707,0.000005341768,0.0002798258,0.0005827582,0.00001993327,0.00003803385,0.00001110375,0.00002651544,0.0000341944,0.9973727,0.0007724489],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00000198485,0.00002516213,0.000004506165,0.00001649388,0.001867837,0.0005321948,0.9941298,0.0002863319,0.003135727],"genre_scores_gemma":[4.273284e-7,0.0002211798,0.0002271443,0.0007210618,0.0005014247,0.00004343121,0.9917737,0.00007109428,0.006440511],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2880251,"threshold_uncertainty_score":0.9994133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01423752195598259,"score_gpt":0.2791376063217413,"score_spread":0.2649000843657587,"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."}}