{"id":"W4200317213","doi":"10.1111/ecog.05694","title":"A quantitative review of abundance‐based species distribution models","year":2021,"lang":"en","type":"review","venue":"Ecography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Norges Forskningsråd; Biodiversa+","keywords":"Abundance (ecology); Relative abundance distribution; Ecology; Range (aeronautics); Rank abundance curve; Species distribution; Relative species abundance; Environmental science; Habitat; Biology","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":[0.002053383,0.001933285,0.001769064,0.004085374,0.0003114898,0.00138459,0.002248905,0.001184466,0.004958169],"category_scores_gemma":[0.005684721,0.0007733657,0.001269785,0.005626449,0.0008014632,0.002515756,0.0007925855,0.001509237,0.002652607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001659555,"about_ca_system_score_gemma":0.001972803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00564459,"about_ca_topic_score_gemma":0.004330782,"domain_scores_codex":[0.9993427,0.0001779266,0.00008526596,0.0001295761,0.000233493,0.00003093296],"domain_scores_gemma":[0.9972109,0.002082815,0.0001598119,0.0001165875,0.00038793,0.00004202798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00005464679,0.00006860705,0.0009811469,0.02710533,0.0004612255,0.0001169358,0.0001113496,0.0309816,0.0006582217,0.07620268,0.06334824,0.79991],"study_design_scores_gemma":[0.00001545521,0.00008898901,0.001931754,0.008572276,0.0003891661,0.0004657691,0.00006467787,0.01075698,0.0004796421,0.06432215,0.9128231,0.00009017083],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003641478,0.9852563,0.009671237,0.0005675551,0.0003107384,0.00001238728,0.0003810101,0.00006990817,0.003366818],"genre_scores_gemma":[0.005624089,0.9880461,0.004279418,0.0002391617,0.000362145,0.00004032249,0.0005263084,0.00003274902,0.0008496666],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00564459,"threshold_uncertainty_score":0.01658678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1276854903403828,"score_gpt":0.3465457473766788,"score_spread":0.218860257036296,"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."}}