{"id":"W6889155246","doi":"10.25545/4upj00/i7o3ho","title":"makePD.m","year":2023,"lang":"en","type":"dataset","venue":"UNB Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"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":[0.0004918345,0.0005506816,0.0005048297,0.0006743821,0.000118849,0.0001264173,0.001740425,0.0004794494,0.01390439],"category_scores_gemma":[0.000649104,0.0005716142,0.0001536002,0.0008337218,0.0001629733,0.0002365464,0.001325952,0.0008103848,0.9862021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002333273,"about_ca_system_score_gemma":0.0002093566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002029046,"about_ca_topic_score_gemma":0.0032956,"domain_scores_codex":[0.9970735,0.0001203691,0.0004057157,0.0009047407,0.0007962919,0.000699408],"domain_scores_gemma":[0.995519,0.0001422032,0.0002806463,0.003749498,0.00006681676,0.0002418597],"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":[0.00002946548,0.0000674136,0.000001233003,0.0001141559,0.0001226856,0.00100858,0.000004999192,0.000004080051,0.000008415842,0.00001573698,0.9985728,0.0000504537],"study_design_scores_gemma":[0.0004626174,0.00003026219,0.00002032671,0.0001058228,0.0002526694,0.0000242187,0.00004063481,0.000008595231,0.000004673334,0.00003469861,0.9984103,0.0006051324],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002502726,0.000004175567,7.544281e-7,0.00000975609,0.001917571,0.0003499822,0.996757,0.0006112482,0.0003470445],"genre_scores_gemma":[6.627195e-8,0.0001594234,0.00006984576,0.0002281361,0.0006909521,0.00003581836,0.9947378,0.0002264225,0.003851503],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9722978,"threshold_uncertainty_score":0.9996735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03629640699637125,"score_gpt":0.293707586867415,"score_spread":0.2574111798710437,"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."}}