{"id":"W2128130311","doi":"10.1139/f07-123","title":"Do survey design and wind conditions influence survey indices?","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Demersal zone; Groundfish; Pelagic zone; Benthic zone; Survey data collection; Survey methodology; Environmental science; Abundance (ecology); Geography; Survey research; Stock (firearms); Bay; Stock assessment; Ecology; Statistics; Fishery; Biology; Mathematics; Fishing; Fisheries management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0327196,0.000508141,0.0007509309,0.0008688362,0.0004059271,0.001221051,0.0006392014,0.0009155239,0.002122825],"category_scores_gemma":[0.1088641,0.0005003213,0.0008749823,0.00228123,0.0008321033,0.001484469,0.0006651287,0.0004444638,0.0007505729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004620419,"about_ca_system_score_gemma":0.000831409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006269638,"about_ca_topic_score_gemma":0.01688574,"domain_scores_codex":[0.9702506,0.02153071,0.002296525,0.002668682,0.002414267,0.0008392779],"domain_scores_gemma":[0.8450276,0.1107684,0.02762289,0.007572473,0.006300115,0.002708655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009816633,0.00002961246,0.986415,0.00007719264,0.0002430697,0.00003173937,0.000176532,0.0002418562,0.0003724235,0.00007009546,0.0003640042,0.0118803],"study_design_scores_gemma":[0.000009127113,0.0001554793,0.9972034,0.00002852108,0.00009706228,0.00007970491,0.0001693981,0.0009281571,0.0002134321,0.0001333319,0.0009715072,0.00001091881],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9483131,0.004008805,0.03648712,0.001373212,0.0004175975,0.0003466233,0.001456414,0.0001927795,0.007404235],"genre_scores_gemma":[0.9897322,0.0005879331,0.007449087,0.0004120161,0.00008780505,0.0001243599,0.0006703798,0.0001004427,0.0008357405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0327196,"threshold_uncertainty_score":0.1730399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04772645423427539,"score_gpt":0.2756787645612847,"score_spread":0.2279523103270093,"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."}}