{"id":"W4398298707","doi":"10.7910/dvn/3qbyb5/2j8lf0","title":"static-1000","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Mobile and Web Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; World Wide Web; Database","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001764851,0.0002423838,0.000264872,0.0001422061,0.00008489043,0.0002550268,0.003028925,0.0001690576,0.008428787],"category_scores_gemma":[0.0000226999,0.0002341542,0.00008312741,0.0002496131,0.00003910837,0.0004614543,0.001118518,0.0002944787,0.5656662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004793226,"about_ca_system_score_gemma":0.0002379196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001784224,"about_ca_topic_score_gemma":0.00002756394,"domain_scores_codex":[0.9983479,0.00005121182,0.0002705594,0.0006568811,0.0003672331,0.0003061561],"domain_scores_gemma":[0.9952193,0.0001024849,0.0001728032,0.004314654,0.00006106008,0.0001297098],"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":[0.00000125407,0.00005207459,6.89866e-7,0.00004584017,0.00002241817,0.00001776983,0.000009642751,0.000007974431,0.000003878718,0.002346261,0.996648,0.0008441575],"study_design_scores_gemma":[0.0001638933,0.00002508459,0.000007741283,0.00002347867,0.00002870051,0.000009066357,0.000004135057,0.0004769098,0.00001554592,0.0001095077,0.9988636,0.0002722914],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[3.87977e-7,5.154212e-7,0.02577001,0.00003350903,0.0005586874,0.0003659297,0.9724619,0.00007427145,0.0007348099],"genre_scores_gemma":[0.000001602151,0.0001939556,0.003588995,0.001396303,0.000117707,0.00008683951,0.9936666,0.00001040114,0.0009375841],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5572374,"threshold_uncertainty_score":0.9924777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01841141169474228,"score_gpt":0.2566754864357352,"score_spread":0.238264074740993,"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."}}