{"id":"W6921394340","doi":"10.7281/t1/bmathh/tanvx2","title":"07_A3.tar.002","year":2021,"lang":"en","type":"dataset","venue":"Research Data Repository, Duke University","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Process (computing); Object (grammar); Relation (database); 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":["insufficient_payload"],"category_scores_codex":[0.001054961,0.002605443,0.001708302,0.004891738,0.001391334,0.003410535,0.003709148,0.002371682,0.3517006],"category_scores_gemma":[0.007890189,0.0009074817,0.001467529,0.00995606,0.0005827884,0.001786984,0.002344168,0.001775016,0.39891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001891516,"about_ca_system_score_gemma":0.003238605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04062408,"about_ca_topic_score_gemma":0.05754224,"domain_scores_codex":[0.9986487,0.0002012867,0.000184114,0.0003920282,0.0002973673,0.0002764706],"domain_scores_gemma":[0.9954675,0.001312446,0.0002838141,0.001099155,0.001429095,0.000407856],"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":[0.00003643856,0.00001103316,0.0001434383,0.0002152359,0.000007380646,0.000008268715,0.000008389586,0.00006193876,0.0000526664,0.000160046,0.9985964,0.0006987589],"study_design_scores_gemma":[0.0002635824,0.00002089502,0.002458778,0.0001942895,0.00002353112,0.00004476281,0.00009151044,0.0003235941,0.0004651687,0.001305143,0.9947758,0.00003283238],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000375598,0.00001416329,0.00003308428,0.00003447795,0.00001469246,0.000006192507,0.998921,0.0003659274,0.0005729425],"genre_scores_gemma":[0.0002091249,0.00002300388,0.0001346309,0.0000302942,0.000009289632,0.00004665984,0.9984611,0.0001742626,0.000911619],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6482994,"threshold_uncertainty_score":0.9247204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2185957692837745,"score_gpt":0.3942255488289645,"score_spread":0.17562977954519,"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."}}