{"id":"W4398683415","doi":"10.7910/dvn/3qbyb5/s6qifb","title":"basket-180","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001965392,0.0002635068,0.0002793581,0.0001598782,0.00009888408,0.0002505811,0.003498927,0.0002252065,0.00704619],"category_scores_gemma":[0.00003954904,0.0002559178,0.0001062524,0.0002846282,0.00003991188,0.0004715459,0.001445126,0.000341104,0.611759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000476292,"about_ca_system_score_gemma":0.0002115506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000150149,"about_ca_topic_score_gemma":0.00002116485,"domain_scores_codex":[0.9982445,0.00005140285,0.0002658413,0.0007510408,0.0003635603,0.0003236968],"domain_scores_gemma":[0.9946149,0.00008825197,0.000170146,0.004928598,0.00006003971,0.000138075],"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":[0.000001277881,0.00005011147,0.000001527234,0.00004227729,0.00002020537,0.00001755266,0.000004867993,0.000003696409,0.000004512278,0.001709686,0.9972771,0.0008672031],"study_design_scores_gemma":[0.0001625918,0.0000216355,0.00001781856,0.00002537811,0.00002812371,0.00001232585,0.000002501863,0.000373777,0.00001043612,0.0001052811,0.9989426,0.0002975721],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[3.98011e-7,9.83525e-7,0.01869775,0.00002172632,0.0007830521,0.0003617585,0.9791036,0.00008718698,0.0009435694],"genre_scores_gemma":[0.000002161701,0.0002170527,0.002853709,0.001040328,0.0002055253,0.00008907561,0.9944754,0.00001108637,0.001105609],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6047128,"threshold_uncertainty_score":0.9999893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01921574985460618,"score_gpt":0.2502427438932408,"score_spread":0.2310269940386346,"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."}}