{"id":"W6929528759","doi":"10.48579/pro/dfwn6t/etf4vg","title":"scan_3914_Z3.roi","year":2024,"lang":"en","type":"dataset","venue":"data.InDoRES","topic":"Virology and Viral Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Collège Boréal","funders":"","keywords":"Spatialization; Limit (mathematics); Process (computing); Term (time)","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":[0.0001892748,0.0004016368,0.0006203505,0.0002854273,0.00008753107,0.00006283847,0.0009141346,0.0004926523,0.003205102],"category_scores_gemma":[0.0003824002,0.0003155928,0.0001462033,0.0001980086,0.0002694537,0.0001371209,0.0009380329,0.0008999902,0.03003876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004054396,"about_ca_system_score_gemma":0.0003870263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002337634,"about_ca_topic_score_gemma":0.0002479116,"domain_scores_codex":[0.9979033,0.00006474957,0.0003542377,0.0009001676,0.000371429,0.0004061342],"domain_scores_gemma":[0.9967718,0.0000885524,0.00009526136,0.00274605,0.00003480431,0.0002635919],"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":[0.0002340834,0.0001601209,0.0001838991,0.0008823052,0.0003758679,0.001586284,0.000004461452,1.278307e-7,0.000009626278,0.00002110754,0.9957966,0.0007455849],"study_design_scores_gemma":[0.000544641,0.0002010705,0.001948472,0.0004348758,0.001713787,0.0001388501,0.00001406286,0.00001306973,0.00001139706,0.0001835762,0.9945035,0.0002926923],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002245738,0.0066263,7.617489e-7,0.0008803917,0.001032843,0.000347353,0.9903281,0.0001322146,0.0004274318],"genre_scores_gemma":[0.00018847,0.001335764,0.00003474917,0.002511069,0.00160447,0.00003277503,0.9932448,0.00004167558,0.001006274],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02683366,"threshold_uncertainty_score":0.9999296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04967107236932932,"score_gpt":0.373326327094254,"score_spread":0.3236552547249247,"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."}}