{"id":"W3145416098","doi":"","title":"1 - Classification de textures en imagerie sonar et invariance en rotation","year":2000,"lang":"fr","type":"article","venue":"Traitement du signal","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Invariant (physics); Autoregressive model; Rotation (mathematics); Sonar; Artificial intelligence; Pattern recognition (psychology); Mathematics; Computer science; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00137764,0.0006232169,0.0006317427,0.001799529,0.0002678789,0.001501362,0.0003745049,0.0005554027,0.001887193],"category_scores_gemma":[0.004549304,0.0001670926,0.0004818254,0.001048841,0.0006914486,0.0009929645,0.0004175605,0.000446973,0.001585906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003271,"about_ca_system_score_gemma":0.0002504713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001532361,"about_ca_topic_score_gemma":0.0009647345,"domain_scores_codex":[0.9986118,0.0003403655,0.00009688776,0.0002692502,0.0005127254,0.0001689825],"domain_scores_gemma":[0.9982232,0.0007546335,0.0002672107,0.0003009225,0.0004107367,0.00004315454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007268441,0.0001259026,0.01762816,0.0002434813,0.00007280696,0.0001530131,0.0001510641,0.02373583,0.1251322,0.003485875,0.001297695,0.8272471],"study_design_scores_gemma":[0.00009971632,0.00082705,0.1365371,0.00009925436,0.000186838,0.002490795,0.0003894525,0.5792401,0.2588814,0.005467382,0.01566449,0.0001165555],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4155183,0.001659669,0.5726616,0.000217735,0.0001821967,0.0002099782,0.0006925911,0.001616411,0.007241465],"genre_scores_gemma":[0.7979042,0.0008905997,0.1957205,0.00005848741,0.000123322,0.00009322377,0.001176131,0.0001885086,0.003844952],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001887193,"threshold_uncertainty_score":0.007285774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02361356148144814,"score_gpt":0.2404865889436221,"score_spread":0.216873027462174,"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."}}