{"id":"W2804144420","doi":"","title":"Extending species distribution models in invasion biology: Recent advances and future challenges","year":2016,"lang":"en","type":"article","venue":"101st ESA Annual Meeting (August 7 -- 12, 2016)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Biology; Distribution (mathematics); Computer science; Computational biology; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01116671,0.001702606,0.002319363,0.0009550975,0.0006926176,0.004213361,0.003709388,0.002349109,0.005004193],"category_scores_gemma":[0.03072224,0.000945925,0.00163269,0.001643394,0.002037467,0.01103471,0.004486378,0.00432461,0.001259686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001323994,"about_ca_system_score_gemma":0.001867391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01322942,"about_ca_topic_score_gemma":0.01173586,"domain_scores_codex":[0.9975945,0.001812282,0.0001078762,0.0002293451,0.0001810204,0.00007497847],"domain_scores_gemma":[0.9749334,0.02015011,0.0009484366,0.001879467,0.001270685,0.0008178523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001922681,0.0002868645,0.02138571,0.000816867,0.0005793714,0.0001147292,0.0004066755,0.7102478,0.000881731,0.1138677,0.008187728,0.1430325],"study_design_scores_gemma":[0.00003718322,0.00004722991,0.0009819679,0.0001883422,0.00006143035,0.00003953873,0.0001311746,0.7977126,0.0001327968,0.1886947,0.01193249,0.00004052248],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.1153215,0.03924454,0.7919776,0.0298145,0.002043273,0.0001245506,0.001286714,0.001921831,0.01826536],"genre_scores_gemma":[0.6137833,0.0433803,0.3265649,0.004459797,0.003366017,0.000432671,0.001422815,0.001114694,0.005475434],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01322942,"threshold_uncertainty_score":0.05905592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03239196437743257,"score_gpt":0.2527900144905718,"score_spread":0.2203980501131392,"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."}}