{"id":"W6959206312","doi":"10.11575/prism/28610","title":"Use of Remote Sensing and Ground Data in Comprehension of the Flooding in the Bow River Basin, Alberta","year":2015,"lang":"en","type":"other","venue":"PRISM (University of Calgary)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flooding (psychology); Flood myth; Hydrology (agriculture); Planform; River flood; Erosion; Floodplain; Change detection","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006503884,0.0002488992,0.0006359208,0.0005159247,0.00005366194,0.00001040811,0.001023483,0.000296377,0.00004429811],"category_scores_gemma":[0.0001593932,0.0002140846,0.00006938881,0.0005435296,0.0007902182,0.0002785016,0.001396199,0.0004223588,0.00001186651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000835986,"about_ca_system_score_gemma":0.0001169375,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.244563,"about_ca_topic_score_gemma":0.02939461,"domain_scores_codex":[0.9979381,0.0005994097,0.0002334172,0.0004375248,0.0005687563,0.0002227843],"domain_scores_gemma":[0.997353,0.0003028882,0.0006464172,0.001569766,0.00007656227,0.00005133888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001180078,0.0005676629,0.01128392,0.00149947,0.0007059104,0.0003604815,0.04149634,0.00001068778,0.004238038,0.0003600096,0.78443,0.1538674],"study_design_scores_gemma":[0.005155421,0.0000982574,0.1309704,0.005354539,0.0008210618,0.00005708111,0.001571522,0.1762257,0.00005309907,0.0005286759,0.6782343,0.0009299892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8791423,0.001463961,0.005237376,0.0006060788,0.0003150002,0.0024357,0.0001673522,0.00006490044,0.1105673],"genre_scores_gemma":[0.2626864,0.002272715,0.4464657,0.0004475628,0.0001593672,1.169161e-7,0.001795913,0.002358055,0.2838141],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6164559,"threshold_uncertainty_score":0.9883164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0504713438867234,"score_gpt":0.2298725413000498,"score_spread":0.1794011974133264,"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."}}