{"id":"W4393543378","doi":"10.5281/zenodo.6259749","title":"Thalamoreticular microcircuit","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0002380253,0.002025609,0.0008633689,0.001005258,0.0004293759,0.001501411,0.002162851,0.001701849,0.02938039],"category_scores_gemma":[0.001473014,0.0005442306,0.001500552,0.001215124,0.0002736551,0.0006080655,0.0008812622,0.001173339,0.04878796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001046155,"about_ca_system_score_gemma":0.001079714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01504218,"about_ca_topic_score_gemma":0.02343515,"domain_scores_codex":[0.9997502,0.00002207363,0.00001852013,0.00009361414,0.00006888233,0.00004672712],"domain_scores_gemma":[0.9996175,0.00008610782,0.00002891295,0.0001074398,0.000122256,0.00003769835],"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":[0.000260591,0.00008551384,0.005400792,0.0009170456,0.0001311469,0.0002123763,0.00002690255,0.01325255,0.001883378,0.001202595,0.9532475,0.02337953],"study_design_scores_gemma":[0.0006038489,0.0001938519,0.01964367,0.0005483223,0.0002396495,0.001393553,0.0001306249,0.07624515,0.01407464,0.009458789,0.877317,0.0001509347],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006315716,0.0008063791,0.004906351,0.0003271947,0.0002083367,0.00007003248,0.9732957,0.009487235,0.004582943],"genre_scores_gemma":[0.01370601,0.0003444647,0.002763667,0.00015416,0.00002723957,0.0001517087,0.9782423,0.0004671187,0.004143365],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02938039,"threshold_uncertainty_score":0.09828717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02594070218447102,"score_gpt":0.2450746397385902,"score_spread":0.2191339375541191,"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."}}