{"id":"W4409253887","doi":"10.1007/978-3-031-87364-5_24","title":"Autonomous Crack Segmentation Based on Segment Anything Model","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Segmentation; Artificial intelligence; Computer science; Computer vision","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":[0.0001887327,0.0008486365,0.001062219,0.0008966206,0.0004058869,0.001013095,0.001330308,0.001272693,0.00364285],"category_scores_gemma":[0.0003495774,0.0006043813,0.00112947,0.0006640422,0.0004458187,0.001179186,0.000919991,0.0006843177,0.001078521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000554222,"about_ca_system_score_gemma":0.0006005656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006165961,"about_ca_topic_score_gemma":0.008143564,"domain_scores_codex":[0.9998444,0.00001078015,0.000005270063,0.00007494524,0.00004144308,0.00002315336],"domain_scores_gemma":[0.9998415,0.00004385501,0.00001790751,0.00004604946,0.00003541445,0.00001529433],"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":[0.0004268688,0.0001500608,0.002279311,0.0001878337,0.0001242737,0.0002517159,0.0001315428,0.6244944,0.08550949,0.009444743,0.006422787,0.270577],"study_design_scores_gemma":[0.00000295751,0.0000105891,0.0001809306,0.000003550387,0.000008760533,0.00002360911,0.000005620258,0.9951617,0.002686515,0.001421227,0.000489187,0.00000529582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03427814,0.0002747057,0.9581193,0.00009772214,0.00006091303,0.0000697389,0.0003382789,0.003134538,0.003626615],"genre_scores_gemma":[0.5877061,0.0003893507,0.3983996,0.0001221386,0.00006506436,0.0001429124,0.00178514,0.0009053451,0.01048427],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006165961,"threshold_uncertainty_score":0.01226014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006210416889140881,"score_gpt":0.2015946991148191,"score_spread":0.1953842822256782,"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."}}