{"id":"W4211205283","doi":"10.1002/9781119460701.ch5","title":"Migration","year":2018,"lang":"en","type":"other","venue":"","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Fishery; Stock (firearms); Stock assessment; Fish migration; Fish stock; Fish <Actinopterygii>; Population; Submarine pipeline; Ecology; Oceanography; Biology; Fishing; Geology; Sociology; 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":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054319,0.0005377526,0.0002589143,0.001206309,0.001380996,0.002570194,0.0007380269,0.0008729412,0.09598527],"category_scores_gemma":[0.001686691,0.0001877785,0.0004060947,0.001835937,0.000631821,0.001522771,0.001859075,0.0007890167,0.04039679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00111588,"about_ca_system_score_gemma":0.001739074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01202747,"about_ca_topic_score_gemma":0.01869115,"domain_scores_codex":[0.9995927,0.00007143179,0.00003390029,0.0000995779,0.0001320474,0.00007042891],"domain_scores_gemma":[0.9996501,0.00004332558,0.0000481424,0.00004542002,0.0001520493,0.00006087936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004549262,0.00002883327,0.006616253,0.0004274127,0.00001475708,0.0001359501,0.001959703,0.0002776181,0.000565324,0.04801128,0.3802388,0.5616786],"study_design_scores_gemma":[0.000002154751,0.00001156442,0.004817209,0.0001762948,0.000003392888,0.0001143049,0.0004114314,0.0000366967,0.00006054586,0.001701988,0.9926583,0.000005928017],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01356123,0.01901505,0.007008951,0.01018233,0.005495081,0.0001930901,0.006378279,0.0009907085,0.9371754],"genre_scores_gemma":[0.0634608,0.02624558,0.00857556,0.003184567,0.001201615,0.0001511792,0.007614974,0.0004981752,0.8890675],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09598527,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01132115337674934,"score_gpt":0.2420331056018996,"score_spread":0.2307119522251503,"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."}}