{"id":"W4393770243","doi":"10.5281/zenodo.3675441","title":"VFA T1 mapping | RTHawk (open) vs Siemens (commercial)","year":2020,"lang":"en","type":"dataset","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Siemens; Computer science; Operating system; Engineering; Electrical engineering","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":[0.001173,0.002514297,0.001363586,0.001772115,0.0006198529,0.00169067,0.002994726,0.002224582,0.07237597],"category_scores_gemma":[0.003422911,0.0006165295,0.001062074,0.002194923,0.0004406183,0.001173296,0.002114113,0.001489485,0.1288632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009009865,"about_ca_system_score_gemma":0.001324836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01287093,"about_ca_topic_score_gemma":0.02876306,"domain_scores_codex":[0.9994438,0.00009430434,0.00005249443,0.0002106561,0.00009002085,0.0001086098],"domain_scores_gemma":[0.9990591,0.0002075548,0.00009963396,0.0003185087,0.0002139739,0.0001010498],"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":[0.000168669,0.00002857298,0.0008462061,0.0006930494,0.00005327095,0.00004156948,0.00002769639,0.0002842376,0.0003338084,0.0003303569,0.9931003,0.004092325],"study_design_scores_gemma":[0.0004481538,0.00003458907,0.005479193,0.000441786,0.00006553299,0.0001957536,0.0001023241,0.0006270676,0.001322097,0.002271113,0.9889604,0.00005190156],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003400566,0.0001106227,0.0002456946,0.00006841581,0.00003859828,0.0000178941,0.9971404,0.001300952,0.0007374504],"genre_scores_gemma":[0.0007819951,0.00006367213,0.0007086667,0.00005633141,0.00001172448,0.00009271161,0.9970449,0.0003249805,0.0009150387],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07237597,"threshold_uncertainty_score":0.2421218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02193375709802073,"score_gpt":0.2314172559804204,"score_spread":0.2094834988823996,"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."}}