{"id":"W4210726821","doi":"10.21203/rs.3.rs-526002/v1","title":"Application of Machine Learning and Acoustic Predation Tags to Classify Migration Fate of Atlantic Salmon Smolts","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada; Dalhousie University","funders":"","keywords":"Predation; Fishery; Artificial intelligence; Biology; Computer science; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009288383,0.0003622351,0.0002179067,0.0009914908,0.0002519133,0.0005198251,0.0002441157,0.000473699,0.0008304371],"category_scores_gemma":[0.00185803,0.0001511223,0.0002946261,0.0004296004,0.0001816812,0.0003300165,0.0002932987,0.000230125,0.0003360344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002880901,"about_ca_system_score_gemma":0.00036846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00680906,"about_ca_topic_score_gemma":0.007722381,"domain_scores_codex":[0.999803,0.00006074286,0.00001454218,0.00005394231,0.00003435551,0.00003351904],"domain_scores_gemma":[0.9989012,0.0006349604,0.000113792,0.00005952232,0.0002267029,0.00006368577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008008287,0.0005871073,0.6374213,0.00005951013,0.0002113392,0.0001148988,0.0002326701,0.05540535,0.02520295,0.0002551876,0.0008735869,0.2788353],"study_design_scores_gemma":[0.00002807708,0.0003348363,0.2845776,0.00001305031,0.00006889807,0.00008319131,0.0002880318,0.7073876,0.00621319,0.0006452588,0.0003352047,0.00002496599],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907877,0.00005976919,0.008244406,0.00005538713,0.00003074015,0.00001039489,0.0001583869,0.00006813279,0.0005851545],"genre_scores_gemma":[0.9932069,0.00002697869,0.005544488,0.00001350195,0.00001284564,0.000006338178,0.0002732073,0.000006904031,0.0009088442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00680906,"threshold_uncertainty_score":0.01353884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02454864421960732,"score_gpt":0.3276419051796668,"score_spread":0.3030932609600595,"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."}}