{"id":"W6960592633","doi":"10.1371/journal.pone.0051488.g003","title":"Niche breadth of Canada lynx and bobcats adjusted for background environment.","year":2015,"lang":"en","type":"other","venue":"Figshare","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Niche; Ecological niche; Niche differentiation; Environmental niche modelling; Niche segregation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002066257,0.000263273,0.0003931281,0.0008144632,0.0007642843,0.0005135346,0.0003957868,0.0002829576,0.006750973],"category_scores_gemma":[0.0006067305,0.0001540223,0.0002834807,0.0005896711,0.0003314571,0.0002876379,0.0006625013,0.0003621772,0.0007077533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001425487,"about_ca_system_score_gemma":0.0008287075,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3896645,"about_ca_topic_score_gemma":0.5841485,"domain_scores_codex":[0.9998518,0.000009452941,0.000005160239,0.00006103629,0.00002284504,0.00004970172],"domain_scores_gemma":[0.9995418,0.00005240578,0.00006330598,0.00002661145,0.0000756309,0.0002403144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001471573,0.0001010502,0.9131966,0.000179798,0.0005620664,0.0003434758,0.0009796267,0.003434112,0.04395477,0.001385267,0.01411637,0.02027517],"study_design_scores_gemma":[0.000004777301,0.00001484246,0.9963976,0.000008168435,0.00002758507,0.00007896838,0.0003923376,0.001099542,0.0003208812,0.0001027448,0.001542708,0.000009965945],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9876885,0.0002902964,0.0002843646,0.00003481273,0.00001389251,0.000005848442,0.007311589,0.00005186102,0.004318929],"genre_scores_gemma":[0.9908482,0.00005348018,0.0004208564,0.00004237903,0.000002671315,0.0000139368,0.005840804,0.00004718736,0.002730379],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6103355,"threshold_uncertainty_score":0.7747928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05559502006072039,"score_gpt":0.2148660719762688,"score_spread":0.1592710519155484,"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."}}