{"id":"W7095319664","doi":"","title":"Abundance and Run Timing of Adult Pacific Salmon in the","year":2015,"lang":"en","type":"article","venue":"","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spawn (biology); Oncorhynchus; Chinook wind; Weir; Tributary; Wildlife; Abundance (ecology); Fish <Actinopterygii>","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":[0.0001503218,0.0001052209,0.00007532861,0.0004234752,0.0003111615,0.0002121033,0.0001567565,0.0001240622,0.001141443],"category_scores_gemma":[0.0005342359,0.0001480656,0.00008164956,0.0003302862,0.0001228601,0.0001866782,0.0002448799,0.0002058525,0.0002134764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004610432,"about_ca_system_score_gemma":0.0003769439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04672593,"about_ca_topic_score_gemma":0.1589961,"domain_scores_codex":[0.9999228,0.000009393882,0.000007943826,0.00002410825,0.00001316046,0.0000225851],"domain_scores_gemma":[0.9997776,0.00001673992,0.00007449261,0.000009505183,0.00005006174,0.00007162771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007225645,0.00001153193,0.9973969,0.000004675157,0.00001032854,0.00007680056,0.0001592248,0.0000182318,0.0003970391,0.00000657117,0.0002049971,0.001641391],"study_design_scores_gemma":[0.000001419168,0.00002759478,0.9994363,0.000002384891,0.00000341432,0.00006862757,0.0001347816,0.00002735145,0.0000432191,0.000002065582,0.0002518287,0.000001034841],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988065,0.00005958079,0.00002343518,0.00002009562,0.000002431421,0.000003120348,0.0005075037,0.000002274492,0.0005752702],"genre_scores_gemma":[0.9979005,0.00007779835,0.00007928407,0.00002381021,0.000003426494,0.000009304447,0.0008894285,0.00000180045,0.001014736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04672593,"threshold_uncertainty_score":0.09290791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03676155616207847,"score_gpt":0.2832482886916375,"score_spread":0.2464867325295591,"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."}}