{"id":"W4398280073","doi":"10.7910/dvn/3qbyb5/dojlme","title":"basket","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":[0.0001715898,0.0002257788,0.0002416946,0.000135206,0.00008013901,0.000217416,0.003207616,0.0001950437,0.008866326],"category_scores_gemma":[0.00003139128,0.0002183361,0.00009165164,0.0002424657,0.00003266226,0.0004226554,0.001285854,0.0002931033,0.6185933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003894863,"about_ca_system_score_gemma":0.0001803532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001232338,"about_ca_topic_score_gemma":0.00002335214,"domain_scores_codex":[0.9984847,0.00004379603,0.0002269699,0.0006529539,0.000313868,0.0002777348],"domain_scores_gemma":[0.9951282,0.00007431211,0.0001446771,0.004488205,0.00004845157,0.0001161795],"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":[9.447543e-7,0.00004201418,9.742506e-7,0.00003498286,0.00001660289,0.00001408416,0.000004004874,0.000003240401,0.000004531441,0.001331344,0.9979404,0.000606934],"study_design_scores_gemma":[0.0001341286,0.00001889264,0.00001182042,0.00002089591,0.00002209337,0.00001103876,0.00000191324,0.0003251904,0.00001120345,0.0001006322,0.9990876,0.000254557],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[3.007288e-7,7.00308e-7,0.01551921,0.00001816716,0.0006725047,0.0003088278,0.9825804,0.00007527683,0.0008246785],"genre_scores_gemma":[0.000001463695,0.0001756084,0.002638728,0.0009723599,0.0001642897,0.00007507746,0.9950503,0.000008820199,0.0009133272],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.609727,"threshold_uncertainty_score":0.9920397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01883216813959101,"score_gpt":0.2497969882093549,"score_spread":0.2309648200697638,"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."}}