{"id":"W6889323850","doi":"10.25545/mmnbnm/eiggkv","title":"073001-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":[0.0004970978,0.000802207,0.0007791147,0.0009444185,0.000187331,0.0001836004,0.002716219,0.0007042445,0.02580795],"category_scores_gemma":[0.0008751009,0.0008402416,0.0002194846,0.0009254139,0.0002334828,0.0003849674,0.0019819,0.001194095,0.3217828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004124117,"about_ca_system_score_gemma":0.0006841029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002190189,"about_ca_topic_score_gemma":0.001386269,"domain_scores_codex":[0.9962702,0.0002090166,0.0005959356,0.00125548,0.0008404952,0.000828911],"domain_scores_gemma":[0.9934979,0.0001860443,0.0003819845,0.005515274,0.0001355992,0.0002831678],"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":[0.0000711164,0.0001870184,0.000002698724,0.0002595874,0.0002267723,0.0004312303,0.000007126186,0.000003030891,0.00001673976,0.00007398256,0.9985558,0.0001649206],"study_design_scores_gemma":[0.0008652189,0.00003818874,0.000006966949,0.000281537,0.0005833055,0.00001834882,0.00003954993,0.00001183794,0.00001665958,0.0000326168,0.9973328,0.00077301],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002031799,0.00002586315,0.000004681382,0.00001608957,0.001863881,0.0005351932,0.9942179,0.0002867388,0.00304767],"genre_scores_gemma":[4.188898e-7,0.0002457337,0.000230893,0.0007586294,0.0005311281,0.0000430094,0.9919623,0.00007110587,0.006156844],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2959749,"threshold_uncertainty_score":0.9994048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01412593017854822,"score_gpt":0.2787954304916906,"score_spread":0.2646695003131423,"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."}}