{"id":"W6907806695","doi":"10.25545/mmnbnm/hbbwld","title":"080102-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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001540764,0.003769768,0.002348128,0.004704243,0.001437815,0.004503568,0.004482612,0.003870402,0.2415742],"category_scores_gemma":[0.009321555,0.001086358,0.001809349,0.007420811,0.0008862194,0.002583053,0.003315021,0.002476857,0.3581749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002044589,"about_ca_system_score_gemma":0.002841783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02330233,"about_ca_topic_score_gemma":0.03404046,"domain_scores_codex":[0.9983703,0.000303525,0.0001759508,0.0005045795,0.000343743,0.0003020017],"domain_scores_gemma":[0.9967385,0.0009577173,0.0002376783,0.0009522538,0.0006914902,0.000422384],"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":[0.00004716324,0.00001296031,0.000116236,0.0004656507,0.00001501257,0.000007421138,0.00001054002,0.0001125013,0.00006288381,0.000259409,0.9978462,0.001043944],"study_design_scores_gemma":[0.0003597506,0.00002919856,0.000984231,0.0002816864,0.00002525311,0.00003568718,0.0000573853,0.0003817445,0.0003175602,0.001200957,0.9962971,0.00002952072],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006077424,0.00008342817,0.00004833889,0.00009110843,0.00004512203,0.00001205972,0.9978641,0.0007968326,0.0009983813],"genre_scores_gemma":[0.0002108049,0.0000567855,0.0001731534,0.00007151587,0.00001204104,0.00005208009,0.9983405,0.0001852234,0.0008978604],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7584258,"threshold_uncertainty_score":0.8081463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0139850671771902,"score_gpt":0.2787348497483936,"score_spread":0.2647497825712034,"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."}}