{"id":"W4239192631","doi":"10.22260/isarc2012/0054","title":"Image-Based Retrieval of Concrete Crack Properties","year":2012,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Image stitching; Computer science; Artificial intelligence; Computer vision; Image processing; Visualization; Binary image; Orientation (vector space); Histogram; Pixel; Digital image processing; Image (mathematics); 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":[0.0002590105,0.0005304762,0.000747761,0.002615883,0.0002008427,0.0008339281,0.0005760882,0.0008092993,0.003665606],"category_scores_gemma":[0.0007231216,0.000246566,0.0006171627,0.001249058,0.0002910194,0.001211262,0.0005565372,0.0004450018,0.002770905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002700934,"about_ca_system_score_gemma":0.0003484474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001146896,"about_ca_topic_score_gemma":0.001297472,"domain_scores_codex":[0.9996765,0.00002039115,0.00001872002,0.00007166289,0.0001769841,0.00003586285],"domain_scores_gemma":[0.9996075,0.00004941982,0.00005240108,0.00007477529,0.0001965581,0.00001938204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002218957,0.00009037728,0.001126111,0.0004371942,0.00004323025,0.0001737183,0.00007683911,0.00503548,0.5926636,0.0009488469,0.002271926,0.3969108],"study_design_scores_gemma":[0.00006234244,0.0004099672,0.02118584,0.0000995521,0.000178553,0.001912737,0.0001606077,0.2977424,0.6568131,0.001421978,0.01991405,0.00009895473],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1094781,0.002868082,0.8734582,0.0001729605,0.0001754448,0.0002936221,0.001303306,0.004241209,0.008009009],"genre_scores_gemma":[0.3195931,0.002178796,0.6650714,0.0001317717,0.0001733646,0.0002296271,0.00210098,0.0003027664,0.01021818],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003665606,"threshold_uncertainty_score":0.01226264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01044970187610737,"score_gpt":0.1956087553386656,"score_spread":0.1851590534625583,"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."}}