{"id":"W7071369867","doi":"","title":"Segmentation non-supervisée d'images couleur par sur-segmentation Markovienne en régions et procédure de regroupement de régions par graphes pondérés","year":2012,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Segmentation; Division (mathematics); Field (mathematics); Object (grammar)","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":[0.0006096468,0.001350726,0.0009743112,0.001542817,0.0006808913,0.001919461,0.001070935,0.001223464,0.01128354],"category_scores_gemma":[0.001156752,0.0007933911,0.001537451,0.0009005312,0.0006361024,0.0008750511,0.000849435,0.0007723637,0.00430448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001219974,"about_ca_system_score_gemma":0.00167011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03224174,"about_ca_topic_score_gemma":0.05849272,"domain_scores_codex":[0.9994049,0.00006628221,0.00002270729,0.0002544203,0.0001625806,0.0000890265],"domain_scores_gemma":[0.9992856,0.0002112814,0.00004539294,0.0001717433,0.0002251102,0.00006086372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009265605,0.0001286012,0.001831618,0.0002893304,0.0001870233,0.0003710282,0.0002976395,0.06483722,0.3054702,0.005949481,0.01044851,0.6092627],"study_design_scores_gemma":[0.00003161268,0.0001579783,0.007033649,0.00003214302,0.00008327499,0.0003387281,0.0001063556,0.8189127,0.1484672,0.004293384,0.02049694,0.00004607275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07789484,0.0007404033,0.9016752,0.0004271506,0.0002051983,0.0001542208,0.001030314,0.01023614,0.007636633],"genre_scores_gemma":[0.2855291,0.0006135965,0.6296617,0.0002396623,0.0001173508,0.0001192584,0.004739273,0.003264519,0.07571542],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03224174,"threshold_uncertainty_score":0.06410813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004655650915164671,"score_gpt":0.1737464866834248,"score_spread":0.1690908357682601,"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."}}