{"id":"W6889736438","doi":"10.26126/intervals.dontcp","title":"Apoe CHTP 1.2 Nose histopathology [Raw]","year":2019,"lang":"en","type":"dataset","venue":"INTERVALS","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Histopathology; Nose; Respiratory system; Cigarette smoke; In vivo","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008666692,0.0008138076,0.001411995,0.0006946739,0.0000559262,0.00009392059,0.002131944,0.001013465,0.009308024],"category_scores_gemma":[0.0007704119,0.0007964984,0.0005290262,0.000237906,0.0002710205,0.000159423,0.0009160088,0.001279672,0.4943756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006189502,"about_ca_system_score_gemma":0.0002136405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004885053,"about_ca_topic_score_gemma":0.000330788,"domain_scores_codex":[0.9959406,0.0005404195,0.0009352301,0.001172458,0.0005641873,0.000847113],"domain_scores_gemma":[0.9955037,0.0001655882,0.0008181187,0.003122771,0.0001965551,0.0001932537],"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":[0.00008818516,0.0002030831,0.00001742092,0.0002673174,0.0000807988,0.0005213338,0.00005192068,0.0000018888,0.0007469651,0.000008679114,0.9978247,0.0001877238],"study_design_scores_gemma":[0.0005649048,0.0002556821,0.0001642008,0.0003720744,0.0002438884,0.0002846275,0.00001111696,0.000004927203,0.0001554329,0.00007814185,0.9970852,0.0007798188],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002538053,0.0009156388,0.000007013294,0.0001282902,0.008095773,0.0006268084,0.9882724,0.0002177651,0.001482566],"genre_scores_gemma":[0.0001454966,0.00006419152,0.00005263828,0.001218777,0.0007339409,0.0001075254,0.9864025,0.0002551285,0.01101987],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4850676,"threshold_uncertainty_score":0.9994486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04671330856205602,"score_gpt":0.3374089521633976,"score_spread":0.2906956436013415,"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."}}