{"id":"W4393602049","doi":"10.5281/zenodo.8386818","title":"Bradipho Registration Utils","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.003414489,0.00299677,0.001938695,0.00468773,0.001370596,0.005308915,0.003772788,0.002035835,0.2098577],"category_scores_gemma":[0.01310883,0.001457203,0.002053802,0.005949918,0.0007996636,0.00405636,0.005739295,0.003266612,0.3230774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001252139,"about_ca_system_score_gemma":0.002648931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006753404,"about_ca_topic_score_gemma":0.01203343,"domain_scores_codex":[0.9975148,0.0004143658,0.0003388082,0.0007609762,0.0006206206,0.0003504317],"domain_scores_gemma":[0.9955999,0.0008156531,0.0003102554,0.001990467,0.0009215075,0.0003623012],"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":[0.00005775697,0.00001066156,0.0002269822,0.0003390476,0.00001557018,0.00001276386,0.00003707002,0.00008008269,0.0002134005,0.0008224186,0.9946429,0.003541372],"study_design_scores_gemma":[0.000079179,0.000009330176,0.0008389871,0.00009572686,0.0000124077,0.00004024833,0.0000518029,0.0002457814,0.0007383015,0.002285622,0.9955721,0.0000305687],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002343869,0.000168223,0.002302171,0.000194951,0.0001579075,0.00009409502,0.962943,0.02820745,0.005697877],"genre_scores_gemma":[0.0009385163,0.0001192109,0.004639183,0.0001646082,0.00003503307,0.0004644063,0.981684,0.008673019,0.003281973],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2098577,"threshold_uncertainty_score":0.7020438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2074962901355384,"score_gpt":0.3676934804772856,"score_spread":0.1601971903417473,"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."}}