{"id":"W3085672241","doi":"","title":"Identification of Dominant Flood Drivers across Canada","year":2016,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Identification (biology); Flood myth; Geography; Archaeology","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":[0.0005193036,0.0003101388,0.0003422349,0.002837617,0.003212231,0.001821935,0.0008380397,0.0003254085,0.002480006],"category_scores_gemma":[0.001546336,0.0003296882,0.0003616809,0.004552225,0.0006629074,0.000437324,0.001486254,0.000514964,0.0001905786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02668537,"about_ca_system_score_gemma":0.04477789,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9970832,"about_ca_topic_score_gemma":0.9991093,"domain_scores_codex":[0.9993672,0.00004602148,0.00002704369,0.00009637159,0.0001933267,0.0002700051],"domain_scores_gemma":[0.9979842,0.0001345352,0.0001680814,0.00004731555,0.001204637,0.0004611263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001336808,0.00004280176,0.9543925,0.0000567999,0.00008366507,0.0001932133,0.005619909,0.0007095002,0.001786062,0.001477198,0.00606321,0.02944147],"study_design_scores_gemma":[0.000003130776,0.000006822485,0.9905369,0.00002277435,0.00001534403,0.00003500207,0.004692155,0.0007502667,0.0001127745,0.00007846693,0.003732404,0.00001390948],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989816,0.0004313717,0.0003702462,0.0004768581,0.000009833401,0.00003979684,0.003481562,0.00003975656,0.005334693],"genre_scores_gemma":[0.9949567,0.000345067,0.0003136898,0.00005126288,0.000002416682,0.00001534684,0.0009421491,0.00001594992,0.003357535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02668537,"threshold_uncertainty_score":0.1936168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006847574691005259,"score_gpt":0.2285660002444093,"score_spread":0.221718425553404,"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."}}