{"id":"W6907972288","doi":"10.25545/4upj00/8yfg4a","title":"Measurement.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":[0.001368943,0.0005476548,0.0004845943,0.0006416526,0.0001314985,0.0001230099,0.00166437,0.0003871348,0.005997358],"category_scores_gemma":[0.001324741,0.0005672299,0.0001523116,0.000772227,0.0001250576,0.0002495632,0.0009504033,0.0007110803,0.9722363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005667704,"about_ca_system_score_gemma":0.0003455672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002966103,"about_ca_topic_score_gemma":0.004758585,"domain_scores_codex":[0.9958292,0.000157835,0.00042738,0.0008860614,0.002020514,0.0006789718],"domain_scores_gemma":[0.9958113,0.00004086527,0.0003009257,0.003392118,0.0002126674,0.0002421529],"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":[0.00003004832,0.00008360464,9.491474e-7,0.0001460327,0.0002063288,0.000381318,0.000003798535,0.000003204127,0.00004110523,0.00000542733,0.9990477,0.00005047016],"study_design_scores_gemma":[0.0005396162,0.00003029283,0.00001813818,0.0002233612,0.0003490851,0.00000950981,0.00003136131,0.000004807947,0.00001169935,0.00001878946,0.998181,0.0005823553],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[5.579063e-7,0.00001111077,0.000001582328,0.000008369987,0.00183591,0.0003954354,0.9969611,0.0005439732,0.0002420285],"genre_scores_gemma":[3.307262e-7,0.0001251182,0.00003060322,0.0001502925,0.0005626849,0.00004209229,0.9983472,0.0001974166,0.0005443239],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9662389,"threshold_uncertainty_score":0.9996779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07879112495097192,"score_gpt":0.2898210128232575,"score_spread":0.2110298878722855,"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."}}