{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001848728,0.006587097,0.002773879,0.01137967,0.002108847,0.004637198,0.006000324,0.004374606,0.09216591],"category_scores_gemma":[0.01033035,0.001170809,0.003470442,0.01105694,0.001174478,0.002452841,0.003393261,0.003055345,0.1971416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001900084,"about_ca_system_score_gemma":0.004182194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02438267,"about_ca_topic_score_gemma":0.04130633,"domain_scores_codex":[0.9974225,0.0004247838,0.0002786556,0.0007691845,0.0005721439,0.0005327004],"domain_scores_gemma":[0.996006,0.0007494665,0.0002554767,0.001418502,0.0009711197,0.0005994408],"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":[0.00007764629,0.00004871453,0.0003839392,0.0003993355,0.00003747946,0.00001799935,0.00001148955,0.0001998799,0.00009703398,0.0002010794,0.9960384,0.002486896],"study_design_scores_gemma":[0.001056702,0.0001261923,0.004579771,0.0006160567,0.0001495414,0.0002373899,0.0001846065,0.002127978,0.001356252,0.002630209,0.9868469,0.00008850466],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004024541,0.0002425802,0.0001012899,0.0001272246,0.0001286782,0.00002664541,0.9960479,0.001816873,0.001106362],"genre_scores_gemma":[0.0004924592,0.00009244978,0.0002951486,0.00006160768,0.00002720466,0.00005162637,0.9979747,0.0001638739,0.0008410049],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9078341,"threshold_uncertainty_score":0.3083257,"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."}}