{"id":"W6964129826","doi":"10.25545/4upj00/z6jgbi","title":"iLQG_function.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":[0.000481549,0.0005143608,0.0004438585,0.0007314711,0.0001641847,0.0001220125,0.001206401,0.0004673765,0.01507807],"category_scores_gemma":[0.000844172,0.000531585,0.0001540365,0.0009822379,0.0001435569,0.0003102185,0.0009139614,0.0007909279,0.9852938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002843271,"about_ca_system_score_gemma":0.0002224639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003252131,"about_ca_topic_score_gemma":0.001999141,"domain_scores_codex":[0.9972109,0.0001147839,0.0003991535,0.0008969774,0.0007745441,0.0006036971],"domain_scores_gemma":[0.9960235,0.0001583434,0.0002799013,0.003215648,0.0000963476,0.0002262978],"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":[0.00004325705,0.00007042128,0.000001609674,0.0000887647,0.0001467803,0.0003661603,0.000003958449,0.00001298564,0.000006541366,0.0000129878,0.9991876,0.00005896141],"study_design_scores_gemma":[0.0004562431,0.00004204123,0.00002054741,0.00007628037,0.0002976608,0.00002199087,0.00004768328,0.00001322748,0.00000330599,0.00003046319,0.99844,0.0005505992],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001542216,0.000003960428,0.000002816612,0.00000983981,0.004013458,0.0003253746,0.9945856,0.0007249256,0.0003324756],"genre_scores_gemma":[5.550584e-8,0.0001480946,0.00005131845,0.0002221328,0.001014351,0.00004608554,0.9929677,0.0001941877,0.005356065],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9702157,"threshold_uncertainty_score":0.9997136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03286825074320622,"score_gpt":0.275203178297858,"score_spread":0.2423349275546517,"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."}}