{"id":"W4385845941","doi":"10.21468/scipost.report.6087","title":"Report on scipost_202210_00002v1","year":2022,"lang":"en","type":"peer-review","venue":"","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Labex UnivEarthS; Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas; Ministerio de Ciencia e Innovación; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada; Istituto Nazionale di Fisica Nucleare; European Regional Development Fund; Fundacja na rzecz Nauki Polskiej; Fundação de Amparo à Pesquisa do Estado de São Paulo; Russian Science Foundation; National Science Foundation; Royal Society; Agence Nationale de la Recherche","keywords":"Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001562863,0.0005700538,0.0006950172,0.001485298,0.001795138,0.005505521,0.001420256,0.002013009,0.8872542],"category_scores_gemma":[0.007604786,0.0002636696,0.0005089755,0.001470478,0.0005945012,0.002236302,0.003354952,0.001886049,0.7920294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001048862,"about_ca_system_score_gemma":0.002755351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001739725,"about_ca_topic_score_gemma":0.004873965,"domain_scores_codex":[0.9988297,0.0001147196,0.00003577872,0.000137175,0.0007269502,0.0001557556],"domain_scores_gemma":[0.9945807,0.00036458,0.0001418835,0.0006454806,0.002365025,0.0019023],"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":[0.00002066438,0.00001394343,0.00004855974,0.00006036238,0.000002621622,0.00002868111,0.000007712611,0.00004198886,0.0001610296,0.0009107562,0.9739029,0.02480073],"study_design_scores_gemma":[0.000005879717,0.000009880622,0.0001359967,0.00002458744,0.000001133717,0.00001196221,0.00001214312,0.00005457662,0.0001590161,0.0004505405,0.9991314,0.000002948907],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008851975,0.0009302563,0.00291594,0.01507827,0.02565112,0.000517165,0.02760265,0.006940714,0.9194787],"genre_scores_gemma":[0.002353478,0.0004467321,0.0008135992,0.001245048,0.002223168,0.0001182264,0.009627421,0.00126181,0.9819105],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8872542,"threshold_uncertainty_score":0.160818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02596064651873775,"score_gpt":0.3666604658691927,"score_spread":0.3406998193504549,"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."}}