{"id":"W1978772315","doi":"10.1016/j.mri.2007.01.037","title":"Assessment of the porous media structure based on fuzzy distance transform and its map ridge","year":2007,"lang":"en","type":"article","venue":"Magnetic Resonance Imaging","topic":"Advanced Algorithms and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Ridge; Porous medium; Fuzzy logic; Porosity; Geology; Artificial intelligence; Computer science; Materials science; Geotechnical engineering; Paleontology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008076154,0.0001269497,0.0001164807,0.00003085215,0.00006732326,0.00001334497,0.0001339766,0.00002354839,0.00002003435],"category_scores_gemma":[0.000007633021,0.00009844487,0.00002693073,0.000157114,0.00005355439,0.00005327948,0.00001125807,0.0001612692,6.008236e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003941336,"about_ca_system_score_gemma":0.00001198488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003701061,"about_ca_topic_score_gemma":0.0000283563,"domain_scores_codex":[0.9992483,0.000005523882,0.0001874402,0.0001556411,0.0001885419,0.0002146052],"domain_scores_gemma":[0.9996141,0.00007287017,0.00002946567,0.0002136258,0.00002608119,0.00004385597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00000835813,0.0000321855,0.004686243,0.0001429043,0.000002669327,0.00000925384,0.0002347468,0.01090075,0.01168836,0.006935017,0.0001732182,0.9651863],"study_design_scores_gemma":[0.0007066191,0.00002464428,0.5525313,0.0001614985,0.00001598597,0.000006671737,0.0001034244,0.4013255,0.009091352,0.002386611,0.03335866,0.0002877784],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5369987,0.0597228,0.3622745,0.003885206,0.001601357,0.002613977,0.001300845,0.0005986011,0.03100402],"genre_scores_gemma":[0.9925232,0.00006093967,0.007193151,0.00008002684,0.00004999969,0.00001299628,0.000005146617,0.00002151617,0.00005305021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9648985,"threshold_uncertainty_score":0.4014466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003909671098113088,"score_gpt":0.2268917902444538,"score_spread":0.2229821191463408,"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."}}