{"id":"W6921482834","doi":"10.7281/t1/bmathh/olk1b0","title":"18_B7.tar.011","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":[0.001058309,0.002461214,0.001726913,0.004524189,0.001335628,0.003064308,0.003544874,0.002254034,0.3366374],"category_scores_gemma":[0.007306675,0.0009247763,0.001241825,0.00914841,0.0005596123,0.001712881,0.00225524,0.001785836,0.3903939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001786897,"about_ca_system_score_gemma":0.003113146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04255202,"about_ca_topic_score_gemma":0.05546607,"domain_scores_codex":[0.9986503,0.0002121304,0.0001801967,0.0003889597,0.0002959989,0.0002724707],"domain_scores_gemma":[0.9958281,0.001133625,0.0002636959,0.0009508434,0.001422667,0.0004011608],"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":[0.00003687355,0.00001091803,0.0001239246,0.0002042334,0.000006280924,0.000006942702,0.000008469738,0.00005461952,0.00005012909,0.0001699673,0.9986024,0.0007251343],"study_design_scores_gemma":[0.000261321,0.00002106236,0.002367325,0.0002018017,0.0000207499,0.00003724425,0.00009598126,0.0002714234,0.0004622228,0.001122686,0.9951078,0.00003055529],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004040587,0.00001434358,0.00003256589,0.00003800627,0.00001528117,0.000006529428,0.9989065,0.0003170593,0.0006293475],"genre_scores_gemma":[0.0001730367,0.00002152445,0.0001221799,0.00002593716,0.0000079835,0.00004146028,0.9985285,0.0001468948,0.0009324893],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6633626,"threshold_uncertainty_score":0.9462062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2244623703553966,"score_gpt":0.394256648467628,"score_spread":0.1697942781122315,"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."}}