{"id":"W2171067583","doi":"10.1111/acv.12000","title":"A metapopulation model for<scp>C</scp>anadian and<scp>W</scp>est<scp>G</scp>reenland narwhals","year":2012,"lang":"en","type":"article","venue":"Animal Conservation","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Metapopulation; Geography; Ecology; Biology; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001060301,0.000477136,0.0005163251,0.000109158,0.0005921768,0.0001401362,0.0003220421,0.0002561076,0.0000434152],"category_scores_gemma":[0.002365706,0.0004815434,0.0001698681,0.000492932,0.0001942381,0.00151885,0.0004137444,0.000240124,0.0002834534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002618584,"about_ca_system_score_gemma":0.0000413372,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007281141,"about_ca_topic_score_gemma":0.01144865,"domain_scores_codex":[0.9969231,0.0001405936,0.0006455426,0.0006994203,0.0005732681,0.001018051],"domain_scores_gemma":[0.9975009,0.001199699,0.0004063738,0.000389158,0.0000841505,0.0004197308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001234343,0.0001573266,0.9248468,0.0001297035,0.0001107873,0.00000362498,0.003153879,0.0002968121,0.003877946,0.004220884,0.06026487,0.002925053],"study_design_scores_gemma":[0.0006874679,0.0002749186,0.7822377,0.00003057926,0.0001728326,0.00001490265,0.0008237193,0.06570398,0.0004110818,0.001640289,0.1478982,0.0001042926],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810674,0.001175612,0.001759457,0.0003856416,0.0001208105,0.001062325,0.00006265784,0.0001271299,0.01423895],"genre_scores_gemma":[0.988259,0.0003159558,0.00444239,0.002466153,0.0002247839,0.0002030626,0.0001313258,0.00007067923,0.003886624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.142609,"threshold_uncertainty_score":0.9997636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05126340009141749,"score_gpt":0.2625039351177141,"score_spread":0.2112405350262966,"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."}}