{"id":"W4417361917","doi":"10.1002/ece3.72615","title":"Predicting Suitable Habitat for <i> Sk <sup>w</sup> enk <sup>w</sup> ínem </i> ( <i>Claytonia lanceolata</i> ), a Culturally Significant Plant, Using a Reproducible Species Distribution Model","year":2025,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of British Columbia, Okanagan Campus","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Habitat; Threatened species; Distribution (mathematics); Climate change; Quality (philosophy); Social ecological model; Species distribution","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":[0.000366404,0.0001975974,0.0001145415,0.0003657835,0.000274923,0.0005943477,0.0004363529,0.0003512855,0.001734428],"category_scores_gemma":[0.001066176,0.0001825368,0.0003901093,0.0003996558,0.0003096764,0.0003437625,0.000405378,0.0002782842,0.0002164215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001101037,"about_ca_system_score_gemma":0.0009569588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07533519,"about_ca_topic_score_gemma":0.1619169,"domain_scores_codex":[0.9999075,0.00002717152,0.000004349405,0.00003323161,0.00001185497,0.00001596159],"domain_scores_gemma":[0.999631,0.0001966391,0.00005019561,0.00003889254,0.00004629735,0.00003684049],"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":[0.0001067436,0.00007622132,0.4660237,0.00007253861,0.00006392188,0.0002071373,0.0003243256,0.5147959,0.002777796,0.001476899,0.001372665,0.01270222],"study_design_scores_gemma":[0.00002662756,0.00006564979,0.2259486,0.00002584916,0.00002715435,0.00007911358,0.0007629645,0.7701166,0.0007544123,0.001055789,0.001110832,0.00002632791],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.994647,0.00001589518,0.00299819,0.00006065848,0.000002861365,0.00001510203,0.0006584291,0.0000524211,0.00154951],"genre_scores_gemma":[0.9967374,0.00001184835,0.002466955,0.00001061762,8.827553e-7,0.00001560477,0.0005313745,0.000005378899,0.0002199015],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.07533519,"threshold_uncertainty_score":0.1497934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02119111460218054,"score_gpt":0.2378099330448141,"score_spread":0.2166188184426336,"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."}}