{"id":"W2576736674","doi":"10.1002/ecy.1631","title":"Phylogenetic occupancy models integrate imperfect detection and phylogenetic signal to analyze community structure","year":2017,"lang":"en","type":"article","venue":"Ecology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Phylogenetic tree; Occupancy; Community structure; Taxon; Phylogenetic comparative methods; Biology; Ecology; Community; Phylogenetics; Evolutionary biology; Imperfect; Habitat","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006867101,0.00082539,0.001375261,0.001105995,0.0007932338,0.001330011,0.002838105,0.001685085,0.001947131],"category_scores_gemma":[0.01892472,0.0007981905,0.001636061,0.001233225,0.002118549,0.003062597,0.002300674,0.001712804,0.0003939419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023113,"about_ca_system_score_gemma":0.0007015871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005107564,"about_ca_topic_score_gemma":0.005505218,"domain_scores_codex":[0.9970962,0.001815463,0.000117337,0.0004895584,0.0002488788,0.0002325579],"domain_scores_gemma":[0.9850981,0.01084552,0.001926172,0.001143214,0.00048276,0.0005042568],"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":[0.0002295212,0.0001111415,0.04933,0.0001498793,0.0003566256,0.0001545713,0.0005754902,0.8164828,0.003155677,0.0940427,0.0008518182,0.03455976],"study_design_scores_gemma":[0.000009182398,0.00003460031,0.001829689,0.000007215145,0.00002112321,0.00004998641,0.00002590139,0.9776446,0.0001829346,0.01986301,0.0003161851,0.00001561733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1348369,0.0002803656,0.8630909,0.0002861212,0.00004300948,0.00004692972,0.0002175311,0.0002244925,0.0009737601],"genre_scores_gemma":[0.903547,0.0002283127,0.09363715,0.0001233625,0.00007368052,0.0001454248,0.00034069,0.0001005002,0.001803961],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006867101,"threshold_uncertainty_score":0.03631711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02513783782922655,"score_gpt":0.2630402402277515,"score_spread":0.2379024023985249,"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."}}