{"id":"W6931114779","doi":"10.5281/zenodo.4010165","title":"Snke OS 3D Lung CT Segmentation Challenge","year":2020,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Paranormal Experiences and Beliefs","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Context (archaeology); Case fatality rate; Cohort; Segmentation; Computed tomography; Radiological weapon","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":[0.004746519,0.003443397,0.001987157,0.002208645,0.001365764,0.004927841,0.00519842,0.004648409,0.04394789],"category_scores_gemma":[0.01078166,0.001096263,0.003108617,0.001467106,0.001037565,0.002488094,0.006247795,0.003969839,0.05314197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001800708,"about_ca_system_score_gemma":0.003679811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01034404,"about_ca_topic_score_gemma":0.02215254,"domain_scores_codex":[0.9955719,0.0009321084,0.0002727685,0.0008208607,0.002000253,0.0004021739],"domain_scores_gemma":[0.9962673,0.0008968918,0.000108562,0.0006762577,0.001356068,0.0006950202],"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":[0.0002271438,0.0001528011,0.0007040256,0.0006199423,0.00007935515,0.0001504293,0.00005328679,0.007793582,0.002863358,0.001682288,0.9334038,0.05227006],"study_design_scores_gemma":[0.0003383737,0.000279114,0.002734069,0.000603895,0.00005677081,0.001202344,0.0002424395,0.1293948,0.009427197,0.01338343,0.842152,0.000185475],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01889957,0.008243708,0.3119788,0.01943285,0.01171725,0.006310212,0.406936,0.136705,0.07977661],"genre_scores_gemma":[0.03498731,0.002017445,0.1866088,0.004998779,0.001158723,0.002554396,0.71615,0.01551326,0.0360113],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04394789,"threshold_uncertainty_score":0.1470204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04485330461482925,"score_gpt":0.3070155702381159,"score_spread":0.2621622656232867,"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."}}