{"id":"W6977637673","doi":"10.6084/m9.figshare.28822273","title":"Additional file 1 of An introduction to statistical models used to characterize species-habitat associations with animal movement data","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Fisheries and Oceans Canada; University of British Columbia","funders":"","keywords":"Statistical model; Statistical analysis; Movement (music); Data file; Data modeling","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003670017,0.001282376,0.001343608,0.002967398,0.0007367851,0.001599944,0.00233383,0.001256873,0.8841978],"category_scores_gemma":[0.05321632,0.000814917,0.001003193,0.004750456,0.000414371,0.001947885,0.001246724,0.001348375,0.251888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009523959,"about_ca_system_score_gemma":0.001651998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00595616,"about_ca_topic_score_gemma":0.01002036,"domain_scores_codex":[0.9988897,0.000335124,0.0001741991,0.0002879669,0.0002047012,0.0001082798],"domain_scores_gemma":[0.9291412,0.06330387,0.001548089,0.002290719,0.003077919,0.0006381938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001405333,0.00007899525,0.001619113,0.001777159,0.00004885539,0.00003714425,0.00005613672,0.001010881,0.00008087235,0.00127915,0.9833174,0.0105536],"study_design_scores_gemma":[0.001923338,0.0002140741,0.01172727,0.001994798,0.0001787972,0.0003452459,0.0002359959,0.00613839,0.000682246,0.02556065,0.95086,0.0001392734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001685939,0.00002753657,0.001996588,0.00008259517,0.00003741731,0.0000939529,0.9956014,0.0009166806,0.001075221],"genre_scores_gemma":[0.01112289,0.0002305103,0.01856213,0.0007507476,0.000206997,0.003317977,0.9463466,0.005496926,0.01396522],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8841978,"threshold_uncertainty_score":0.1651778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04845078477263857,"score_gpt":0.2495365497243165,"score_spread":0.2010857649516779,"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."}}