{"id":"W4393060554","doi":"10.5210/jbc.v47i2.13548","title":"Behind the Image - Cerebral Reflections","year":2023,"lang":"en","type":"article","venue":"Journal of Biocommunication","topic":"Digital Imaging in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of Ontario","keywords":"Photography; Visual arts; Art","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007898192,0.00005545924,0.0001296666,0.0001792116,0.0001043713,0.00003471235,0.0002707626,0.00002805706,0.00003112379],"category_scores_gemma":[0.0004370683,0.00003317941,0.0000866466,0.0003580041,0.0001438707,0.0002037649,0.00006824543,0.0003632822,0.00009803331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005404332,"about_ca_system_score_gemma":0.00007011856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009328515,"about_ca_topic_score_gemma":0.000003261339,"domain_scores_codex":[0.9992217,0.00006225731,0.0003186243,0.00004412917,0.0002532531,0.0001000234],"domain_scores_gemma":[0.9988295,0.0001382304,0.0002264153,0.0005023275,0.0002434103,0.00006014655],"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":[0.0004165809,0.0008444225,0.01987506,0.0001382574,0.000552878,0.0001231061,0.007653709,0.00003401019,0.3278135,0.001756605,0.5125696,0.1282223],"study_design_scores_gemma":[0.003987147,0.001291012,0.4020247,0.0008606649,0.0005461022,0.00359546,0.006489668,0.001285692,0.02018654,0.005353921,0.5541381,0.0002410647],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6766478,0.0009892703,0.0008231447,0.2369862,0.0007166964,0.0004392576,0.000004094444,0.0001452237,0.08324836],"genre_scores_gemma":[0.9921203,0.0003568234,0.004488526,0.0007887497,0.0003017761,0.000003821427,0.00001441006,0.00001489456,0.001910738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3821496,"threshold_uncertainty_score":0.1578301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05983884359261624,"score_gpt":0.4027317519792518,"score_spread":0.3428929083866355,"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."}}