{"id":"W6948621030","doi":"10.5281/zenodo.10210895","title":"MEDIGAN MODEL UPLOAD: 00023_PIX2PIXHD_BREAST_DCEMRI","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Wood and Agarwood Research","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Minnow Environmental (Canada)","funders":"","keywords":"Python (programming language); Upload; Metadata; Breast imaging; Metadata modeling; Image manipulation","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":[0.0004054352,0.001832058,0.0005237318,0.0006115308,0.0003719527,0.001397288,0.002589611,0.001310819,0.2640177],"category_scores_gemma":[0.001796981,0.001268064,0.001183245,0.0004832858,0.000279059,0.001421266,0.001494041,0.001555576,0.1960633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008840317,"about_ca_system_score_gemma":0.0008553858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004656503,"about_ca_topic_score_gemma":0.009398781,"domain_scores_codex":[0.9998499,0.00001350424,0.000005947538,0.00005710799,0.00005177386,0.0000218055],"domain_scores_gemma":[0.9997253,0.00007065732,0.00001229647,0.00007791007,0.00008552839,0.00002834794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001238305,0.00002865937,0.0008408951,0.0003550594,0.00006874331,0.00005676661,0.0000417047,0.007608439,0.003909684,0.001792904,0.9465549,0.03861842],"study_design_scores_gemma":[0.0002884011,0.00008880427,0.003192405,0.0002082275,0.0001133,0.0006833426,0.00006699131,0.1102108,0.03841661,0.01300829,0.8335854,0.000137493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.006512993,0.001029221,0.1772091,0.001830212,0.001077709,0.0005721686,0.2776062,0.4665838,0.06757868],"genre_scores_gemma":[0.05967053,0.00115785,0.114623,0.002395944,0.0002834615,0.001705112,0.5162342,0.1985065,0.1054235],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.2640177,"threshold_uncertainty_score":0.8832271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03810742059192365,"score_gpt":0.2523706307672124,"score_spread":0.2142632101752888,"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."}}