{"id":"W6930587807","doi":"10.5281/zenodo.14597274","title":"Porcepicus Huber 2022","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Sulcus; Seta; Dorsum; Coronal plane; Occiput","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":[0.0001924742,0.0008496272,0.0004561761,0.001857139,0.001160052,0.0005401828,0.00075059,0.0006800454,0.01450351],"category_scores_gemma":[0.0006832868,0.0003808927,0.0001642661,0.001343623,0.0006444102,0.001236337,0.001099067,0.0008067245,0.003867709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006223468,"about_ca_system_score_gemma":0.0004650579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006337462,"about_ca_topic_score_gemma":0.006749495,"domain_scores_codex":[0.9997848,0.00001580372,0.0000123122,0.00008803853,0.00006223001,0.00003690947],"domain_scores_gemma":[0.9997609,0.00005288091,0.00007497766,0.00002877422,0.00005132603,0.00003104868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008938832,0.0001392615,0.01976748,0.001399211,0.00007641797,0.007044299,0.001504243,0.00156853,0.02576788,0.005383621,0.04826889,0.8881862],"study_design_scores_gemma":[0.0004414206,0.0007616738,0.2773818,0.001156349,0.0003341537,0.03445549,0.003317519,0.002544968,0.01796205,0.005665316,0.6558746,0.000104686],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4938415,0.02293602,0.01513688,0.001769282,0.002572779,0.0009523133,0.007804881,0.002429249,0.4525572],"genre_scores_gemma":[0.9539517,0.005537762,0.006400055,0.001078239,0.0003950216,0.0002168463,0.002928445,0.00009487401,0.02939703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01450351,"threshold_uncertainty_score":0.04851907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02785975393446468,"score_gpt":0.2737853329911047,"score_spread":0.24592557905664,"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."}}