{"id":"W970923976","doi":"","title":"Library: Alberta Flood Resources: Maps/Air Photos/Images","year":2013,"lang":"en","type":"libguides","venue":"","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Flood myth; Remote sensing; Cartography; Geography; Computer graphics (images); Meteorology; Computer science; 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":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":true,"confidence":"high","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":true,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004606922,0.001400465,0.0007137736,0.006996844,0.00192335,0.004080722,0.001617382,0.0007396392,0.5904842],"category_scores_gemma":[0.001299904,0.0009192664,0.0004072428,0.011236,0.0005379748,0.001439348,0.001026638,0.0009877316,0.2732163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006004905,"about_ca_system_score_gemma":0.01037362,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7660456,"about_ca_topic_score_gemma":0.9030402,"domain_scores_codex":[0.999652,0.00001129288,0.000008167059,0.00003236573,0.0002472433,0.0000488257],"domain_scores_gemma":[0.9986899,0.00008380828,0.00002816332,0.00009737603,0.0009554366,0.0001452816],"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":[0.00002053947,0.00001339839,0.0002896211,0.0000784229,0.00000256792,0.00001912582,0.00004250143,0.000166543,0.00008099971,0.0005972279,0.9579335,0.04075562],"study_design_scores_gemma":[0.00003186932,0.000006479366,0.005915615,0.0001956688,0.00001018937,0.00003180647,0.0001960422,0.0007246266,0.0004696841,0.001132681,0.9912628,0.00002247288],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.001610717,0.001020225,0.001805824,0.0007339853,0.0002536724,0.000187511,0.2886518,0.01072468,0.6950116],"genre_scores_gemma":[0.005969367,0.002119322,0.005440898,0.0001483284,0.00009524594,0.0001209631,0.1452904,0.003509863,0.8373056],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.5904842,"threshold_uncertainty_score":0.5841246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006559839070091022,"score_gpt":0.1859216366521287,"score_spread":0.1793617975820377,"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."}}