{"id":"W4398599675","doi":"10.7910/dvn/bflott/m04jca","title":"tableA1.txt","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Matrix Theory and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","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":[0.001737178,0.002593098,0.00194556,0.004721985,0.001171257,0.004095016,0.003014682,0.001941653,0.3894444],"category_scores_gemma":[0.01758355,0.0008232779,0.001271109,0.008786327,0.0006658486,0.002413841,0.002468396,0.002157465,0.3699031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001584937,"about_ca_system_score_gemma":0.002453397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009339522,"about_ca_topic_score_gemma":0.02167439,"domain_scores_codex":[0.99837,0.0002671501,0.0002453055,0.0004935598,0.0003892908,0.0002347361],"domain_scores_gemma":[0.9937612,0.002564769,0.0004610554,0.001243052,0.00145568,0.0005141115],"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":[0.00002339832,0.00001329073,0.0002144819,0.0003328268,0.000009578718,0.000004969411,0.000006769752,0.00007126664,0.00002850928,0.0001623118,0.9981112,0.0010213],"study_design_scores_gemma":[0.0003296504,0.0000308755,0.002106903,0.0002902377,0.00002872572,0.00004871371,0.00008904013,0.0003120362,0.0002588409,0.002333779,0.9941467,0.0000244997],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006228669,0.00004706607,0.00005567264,0.00006972619,0.00003700122,0.00001401685,0.9985922,0.0003505718,0.0007713456],"genre_scores_gemma":[0.0003814259,0.00006684042,0.0003256301,0.0001229771,0.00002426203,0.0001541306,0.9971456,0.0002222299,0.001556996],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6105556,"threshold_uncertainty_score":0.8708835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01459491440122948,"score_gpt":0.22861572948222,"score_spread":0.2140208150809905,"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."}}