{"id":"W3095717565","doi":"10.1130/abs/2020am-358591","title":"DETERMINING THE APPLICABILITY OF CHANGE DETECTION FOR QUANTIFICATION OF EROSION ON THE NIAGARA ESCARPMENT, HAMILTON, ONTARIO, CANADA","year":2020,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Escarpment; Erosion; Geology; Computer science; Remote sensing; Environmental science; Geomorphology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006377523,0.0003185154,0.0002819824,0.00108418,0.002398859,0.001581239,0.0008408084,0.0002938795,0.001916281],"category_scores_gemma":[0.002646293,0.000319986,0.0002646367,0.001789778,0.0006102252,0.0003268606,0.0004478133,0.0003418268,0.0003954536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01882509,"about_ca_system_score_gemma":0.02397552,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958632,"about_ca_topic_score_gemma":0.9987786,"domain_scores_codex":[0.9993075,0.00005456215,0.00003050969,0.0001202006,0.0003613962,0.0001257687],"domain_scores_gemma":[0.9977772,0.000226283,0.00009694055,0.00004294054,0.001733106,0.0001235016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004519865,0.00008408463,0.8730671,0.0002584484,0.0001885805,0.0003362776,0.001886347,0.01031325,0.01212006,0.0007895187,0.008256535,0.09224781],"study_design_scores_gemma":[0.00004950927,0.00003483472,0.9721591,0.00007126942,0.00007309658,0.00004986438,0.001808445,0.01572598,0.003040785,0.0001000142,0.006858586,0.00002856134],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9716983,0.0006152594,0.002995272,0.0003828796,0.00002365933,0.0003036315,0.004820192,0.0001663951,0.01899451],"genre_scores_gemma":[0.9796611,0.000495694,0.01030413,0.00007282861,0.000005530538,0.00008240891,0.002251095,0.0000353541,0.007091878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01882509,"threshold_uncertainty_score":0.1365862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04375508783000177,"score_gpt":0.2337944419821976,"score_spread":0.1900393541521959,"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."}}