{"id":"W2057666915","doi":"10.1109/icpr.2010.839","title":"LLN-based Model-Driven Validation of Data Points for Random Sample Consensus Methods","year":2010,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"RANSAC; Sample (material); Mathematics; Point (geometry); Novelty; Data mining; Computer science; Statistics; Artificial intelligence; Algorithm; Image (mathematics)","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":[0.008925115,0.001228771,0.001613009,0.001423126,0.000995376,0.001351172,0.002240091,0.001698804,0.00162929],"category_scores_gemma":[0.03354508,0.0007622467,0.000942009,0.0007983738,0.001662653,0.00223863,0.002564886,0.001831831,0.0007649653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001275987,"about_ca_system_score_gemma":0.001718883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004202134,"about_ca_topic_score_gemma":0.003456213,"domain_scores_codex":[0.9934074,0.003044278,0.0003450336,0.000901975,0.002040118,0.0002612252],"domain_scores_gemma":[0.9848733,0.007470954,0.001417542,0.002426936,0.003560529,0.0002507217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003183475,0.0001152081,0.001977693,0.0001842046,0.0001093069,0.0001057116,0.0002484026,0.7447469,0.01375037,0.01123658,0.001128699,0.2260787],"study_design_scores_gemma":[0.000006530865,0.00003209011,0.0001458252,0.000008683186,0.000003709125,0.00002269092,0.00001111383,0.9948041,0.003044495,0.001528164,0.000380772,0.00001179249],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004633763,0.00003449025,0.9947989,0.00002869726,0.00001116089,0.00002191849,0.00001125452,0.0002572049,0.0002025549],"genre_scores_gemma":[0.4104544,0.00009891814,0.587128,0.0001324224,0.00004035714,0.0003531855,0.000316629,0.0003017242,0.00117439],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008925115,"threshold_uncertainty_score":0.04720104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07185009751522436,"score_gpt":0.3430003538563512,"score_spread":0.2711502563411268,"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."}}