{"id":"W6964464544","doi":"10.25549/impa-c123-78996","title":"City from East, Daska, Pakistan, ca.1910","year":2014,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Situated; Principal (computer security); Training (meteorology); Quarter (Canadian coin); Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003845138,0.001457497,0.0008734223,0.003705193,0.00104922,0.002405905,0.001442714,0.0009325432,0.0606266],"category_scores_gemma":[0.002835184,0.0004995784,0.0005386942,0.009553248,0.000407144,0.001405681,0.001365207,0.001295421,0.07072708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001445603,"about_ca_system_score_gemma":0.00341586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1149359,"about_ca_topic_score_gemma":0.2007799,"domain_scores_codex":[0.9995753,0.00003846208,0.00005327016,0.0001265586,0.0001050466,0.0001013085],"domain_scores_gemma":[0.9986608,0.0001943755,0.0001915715,0.0001833475,0.0006107907,0.0001591205],"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":[0.0000443073,0.000008860665,0.001907264,0.0003783255,0.00001437763,0.00002230975,0.00002824822,0.00007786235,0.00002500254,0.0002369391,0.9950831,0.002173516],"study_design_scores_gemma":[0.0001396652,0.00001019369,0.01767793,0.0003358774,0.00002426198,0.0000607213,0.0003392073,0.0001277621,0.0001618863,0.0004031822,0.9806978,0.00002158164],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001748011,0.00007876958,0.00001578354,0.00004427098,0.00002045025,0.000004173353,0.9988968,0.00006279496,0.0007020358],"genre_scores_gemma":[0.0008478069,0.0001159213,0.00006021094,0.00002292641,0.000008602397,0.00002779744,0.9975594,0.00002069161,0.001336688],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1149359,"threshold_uncertainty_score":0.2285337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008212426252901207,"score_gpt":0.1727484871565599,"score_spread":0.1645360609036587,"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."}}