{"id":"W2610486947","doi":"","title":"Video - Water resource study: West central Alberta. Presentation by Ben Kerr and Brad Hayes","year":2013,"lang":"en","type":"article","venue":"","topic":"Archaeology and Natural History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Resource (disambiguation); Presentation (obstetrics); Geology; Geography; Computer science; Medicine","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":[0.0006354498,0.0004977095,0.0002179308,0.001053823,0.003511095,0.001128341,0.001222318,0.001006595,0.03802719],"category_scores_gemma":[0.0005855742,0.0002623108,0.0001339646,0.002060634,0.0006582378,0.0003908227,0.001106948,0.0008320196,0.00284379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006597218,"about_ca_system_score_gemma":0.01161043,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9286794,"about_ca_topic_score_gemma":0.9866768,"domain_scores_codex":[0.9997936,0.00001865292,0.000003565204,0.00002762629,0.00007310216,0.0000835612],"domain_scores_gemma":[0.9994838,0.00003783351,0.00001758791,0.00001146375,0.0002381284,0.0002109864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001580727,0.0003263486,0.06599441,0.0005590286,0.00003359628,0.003620613,0.01419178,0.0007460626,0.009112572,0.001451981,0.7503523,0.1520306],"study_design_scores_gemma":[0.0001186976,0.0002168154,0.4027551,0.0002445765,0.00003944344,0.0001919873,0.05360818,0.0009086482,0.003058573,0.0007965717,0.5380043,0.00005710336],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4681728,0.01173501,0.003449013,0.03695988,0.003700155,0.002457123,0.05777249,0.0009189296,0.4148347],"genre_scores_gemma":[0.3724738,0.005125041,0.002695323,0.003067466,0.00052734,0.0004108281,0.01132934,0.0001154625,0.6042554],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07132059,"threshold_uncertainty_score":0.1434812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007679048872462258,"score_gpt":0.2564871618351366,"score_spread":0.2488081129626744,"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."}}