{"id":"W7117253860","doi":"10.25545/ozx7dp/txxdbu","title":"README.md","year":2025,"lang":"","type":"dataset","venue":"UNB Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"","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","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.00188525,0.002765542,0.002475201,0.002783554,0.0008586506,0.0007999347,0.00798603,0.00224533,0.08908211],"category_scores_gemma":[0.003991068,0.003264134,0.0007529921,0.003674123,0.001273151,0.001485228,0.008476332,0.003792945,0.6192465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001672627,"about_ca_system_score_gemma":0.003595884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002194294,"about_ca_topic_score_gemma":0.001211857,"domain_scores_codex":[0.9871818,0.001101466,0.002348043,0.004380779,0.002290019,0.002697885],"domain_scores_gemma":[0.9775868,0.0007494862,0.001604917,0.01837271,0.0005606222,0.001125471],"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":[0.0007003821,0.001238156,0.000008033228,0.001300659,0.001227093,0.002161266,0.00005732251,0.00002139474,0.00009789728,0.0004659789,0.9917492,0.0009726767],"study_design_scores_gemma":[0.002886224,0.000237001,0.000005603917,0.002052568,0.00360815,0.00009188097,0.0003079179,0.0001040598,0.0001333575,0.00006574857,0.9878409,0.002666618],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000006000123,0.0002934256,0.00002879392,0.00004574352,0.006112627,0.001950638,0.9836208,0.0003429581,0.007598962],"genre_scores_gemma":[0.000002844706,0.007525616,0.0007225737,0.00125189,0.001277829,0.0000933885,0.9757552,0.0002353885,0.01313528],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5301644,"threshold_uncertainty_score":0.999543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01450001558137835,"score_gpt":0.2834359640400964,"score_spread":0.268935948458718,"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."}}