{"id":"W7099414998","doi":"","title":"Machine Vision and Applications DOI 10.1007/s00138-007-0097-8 ORIGINAL PAPER Retrieving articulated 3-D models using medial surfaces","year":2006,"lang":"en","type":"article","venue":"","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Representation (politics); Abstraction; Articulation (sociology); Object (grammar); Medial axis; Variety (cybernetics); Graph","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00155498,0.001085901,0.001267489,0.002956418,0.0003417906,0.002765803,0.002331708,0.002643474,0.2133799],"category_scores_gemma":[0.002231154,0.0004852282,0.0008571988,0.003449664,0.0007074981,0.002914392,0.001669753,0.001515041,0.1613834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007266807,"about_ca_system_score_gemma":0.000649902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001655591,"about_ca_topic_score_gemma":0.001659242,"domain_scores_codex":[0.998929,0.0001497546,0.00008213344,0.0001830183,0.000591089,0.00006491257],"domain_scores_gemma":[0.9982349,0.0005645539,0.00008245783,0.0003600944,0.00064313,0.0001147559],"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":[0.00007114311,0.00003272394,0.000190306,0.0002059629,0.00005055585,0.00009053958,0.00002125553,0.001966287,0.004071186,0.005519891,0.05250198,0.9352782],"study_design_scores_gemma":[0.00004678829,0.0001423899,0.001769711,0.0003527805,0.00005523006,0.0006920545,0.0000972593,0.07420868,0.006064292,0.01459869,0.9019119,0.00006018803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01087704,0.0481083,0.6762985,0.006333604,0.005709417,0.0004442637,0.002873692,0.009132567,0.2402226],"genre_scores_gemma":[0.04992007,0.02263866,0.3515588,0.001343849,0.003039704,0.0004176416,0.006816226,0.001407728,0.5628573],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2133799,"threshold_uncertainty_score":0.7138268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006814471480475027,"score_gpt":0.2234346897657988,"score_spread":0.2166202182853238,"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."}}