{"id":"W6958587137","doi":"10.6084/m9.figshare.23292134","title":"Additional file 1 of Flexible hidden Markov models for behaviour-dependent habitat selection","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Diffusion and Search Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Hidden Markov model; Selection (genetic algorithm); Distribution (mathematics); Code (set theory); Covariate; Markov chain; Markov process","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":[0.001575346,0.001142479,0.001156284,0.001241915,0.0006164373,0.001330965,0.002891376,0.001366649,0.8351333],"category_scores_gemma":[0.01833298,0.0008274099,0.0008199118,0.002391468,0.0002665391,0.001732398,0.0009830705,0.001198741,0.2212438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009691183,"about_ca_system_score_gemma":0.001370132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007236805,"about_ca_topic_score_gemma":0.01046221,"domain_scores_codex":[0.9995999,0.0001231971,0.00004057015,0.0001158015,0.00007278674,0.0000478419],"domain_scores_gemma":[0.9892277,0.008958353,0.0003477444,0.0006256441,0.0006520308,0.0001885445],"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":[0.000178244,0.00009233915,0.002462753,0.001538464,0.00007936799,0.0001143329,0.0000678486,0.009798575,0.0002253869,0.007143444,0.9602798,0.01801934],"study_design_scores_gemma":[0.002744683,0.0002248646,0.01074981,0.00148367,0.0002165186,0.0006773958,0.0002013452,0.0704375,0.001441549,0.1050744,0.8065243,0.0002239868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0003706056,0.00003884566,0.006694733,0.0001418029,0.00003708486,0.00007233197,0.9894242,0.001551655,0.001668797],"genre_scores_gemma":[0.02287032,0.0002911002,0.03206203,0.0006744834,0.0001551868,0.001858081,0.9227264,0.006490125,0.01287216],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8351333,"threshold_uncertainty_score":0.2351624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03303613948346924,"score_gpt":0.2763377693002148,"score_spread":0.2433016298167456,"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."}}