{"id":"W2793345533","doi":"10.1371/journal.pone.0192139","title":"Multistate matrix population model to assess the contributions and impacts on population abundance of domestic cats in urban areas including owned cats, unowned cats, and cats in shelters","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"University of Guelph","keywords":"CATS; Population; Wildlife; Abundance (ecology); Geography; Feral cat; Ecology; Population size; Demography; Veterinary medicine; Biology; Environmental health; Medicine; Felis catus","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.00109204,0.000608828,0.0006949128,0.0006979463,0.0006570157,0.001153806,0.001645061,0.0009916621,0.004487032],"category_scores_gemma":[0.002506523,0.0004661873,0.0009072116,0.0006561499,0.0005794454,0.0008828957,0.001019399,0.0009756623,0.0003342078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002340751,"about_ca_system_score_gemma":0.002008076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1394715,"about_ca_topic_score_gemma":0.08496349,"domain_scores_codex":[0.9996496,0.0001230877,0.00001360303,0.0001104594,0.00003673621,0.00006651878],"domain_scores_gemma":[0.9986321,0.0007497332,0.0001620304,0.00004811388,0.0003212719,0.00008670144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004001948,0.00002369869,0.006281237,0.00001104901,0.00004159808,0.00004143899,0.00004160189,0.9896742,0.0002044364,0.002015897,0.0002703705,0.001354433],"study_design_scores_gemma":[0.000006956563,0.00001026212,0.0004758375,0.000001346224,0.000007845731,0.000006194185,0.00001517475,0.998922,0.00002147064,0.0004254784,0.0001047003,0.000002863178],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7440225,0.0002050049,0.2422305,0.0007002084,0.00007982926,0.0001782896,0.00226793,0.000570634,0.009745017],"genre_scores_gemma":[0.9781027,0.00006812905,0.01602736,0.00006065351,0.00001178074,0.0001594579,0.0006367023,0.0000291926,0.004904045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1394715,"threshold_uncertainty_score":0.2773194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06968098404380794,"score_gpt":0.3856277583396291,"score_spread":0.3159467742958211,"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."}}