{"id":"W6907152696","doi":"10.18738/t8/ejonhj/z58x65","title":"IMGEO2_2018157_DEV_JKB2t_Y73a.txt","year":2024,"lang":"en","type":"dataset","venue":"Texas Digital Library (University of Texas)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":[0.001075474,0.003563799,0.001890849,0.003685704,0.001340445,0.004013008,0.004239634,0.003424842,0.2951021],"category_scores_gemma":[0.006142064,0.001172696,0.00179786,0.006505607,0.0006646576,0.002702045,0.003260701,0.002490224,0.427675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001854831,"about_ca_system_score_gemma":0.002472243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03006514,"about_ca_topic_score_gemma":0.05370419,"domain_scores_codex":[0.9989731,0.0001656479,0.00007836856,0.0003406247,0.0002040248,0.0002382836],"domain_scores_gemma":[0.9977196,0.0006994032,0.0001580779,0.0005526036,0.0005653743,0.0003049049],"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":[0.00002463641,0.000006462531,0.000114465,0.0001869479,0.000006704388,0.000005543137,0.000008306343,0.00006879069,0.00003018902,0.0001663649,0.998845,0.0005365041],"study_design_scores_gemma":[0.0002347614,0.00001605789,0.001226055,0.0002102931,0.00001585804,0.00002660032,0.00006826183,0.0003006392,0.0002535383,0.001112728,0.9965085,0.00002664914],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003740486,0.00002953876,0.00003261567,0.0000646446,0.00003155422,0.000005208569,0.9983026,0.0005818814,0.0009144549],"genre_scores_gemma":[0.000134268,0.00003032848,0.0001250951,0.000051327,0.000009380131,0.00003700095,0.9983115,0.000228029,0.001073082],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7048979,"threshold_uncertainty_score":0.987215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01060996403661756,"score_gpt":0.1914588396809049,"score_spread":0.1808488756442874,"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."}}