{"id":"W4398599273","doi":"10.7910/dvn/6me9uj/rxwjgq","title":"Construct Tables.do","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Construct (python library); Computer science; Programming language","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":[],"category_scores_codex":[0.001557629,0.005087656,0.001913427,0.007473019,0.001291383,0.00499888,0.004668722,0.003130351,0.2653085],"category_scores_gemma":[0.01013558,0.001854068,0.001989526,0.007243386,0.0007824939,0.005933046,0.004532118,0.00255566,0.3558865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001937655,"about_ca_system_score_gemma":0.002911679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009752208,"about_ca_topic_score_gemma":0.01550686,"domain_scores_codex":[0.9981118,0.0002275222,0.0002021162,0.0007536769,0.0004049259,0.0002999],"domain_scores_gemma":[0.9953205,0.0008862027,0.0002427767,0.00222635,0.0008414278,0.0004827369],"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":[0.00005265555,0.00002117007,0.0005155721,0.0004026677,0.00001804869,0.000009233862,0.00001997103,0.0001420432,0.0001341004,0.0008115383,0.9940309,0.003842046],"study_design_scores_gemma":[0.0002235612,0.00002241127,0.00132523,0.0001862647,0.00001315544,0.00004606179,0.00005468445,0.000971539,0.0009648578,0.003818125,0.9923498,0.00002422834],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001766778,0.0001072148,0.0005019598,0.0001451536,0.00007728682,0.0000324819,0.9868672,0.008456615,0.003635331],"genre_scores_gemma":[0.0007491266,0.0001028296,0.00132534,0.0001193957,0.00002017186,0.00008891718,0.9954038,0.001128014,0.001062514],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7346915,"threshold_uncertainty_score":0.8875453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0149715065193005,"score_gpt":0.2346507766131989,"score_spread":0.2196792700938984,"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."}}