{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000223449,0.00007348756,0.00006870408,0.0000502832,0.00005392229,0.00001367643,0.0001106709,0.00009624331,0.8743019],"category_scores_gemma":[0.0004892619,0.00007651241,0.00008992275,0.00009777282,0.000005585259,0.00000477094,0.00009509623,0.00004246872,0.0003450035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001054271,"about_ca_system_score_gemma":0.00009134067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001362926,"about_ca_topic_score_gemma":0.00002277352,"domain_scores_codex":[0.9993978,0.00001284291,0.0001055483,0.000185532,0.0001317437,0.0001665357],"domain_scores_gemma":[0.9995274,0.00009328085,0.00004849271,0.0001142401,0.0001623767,0.00005421163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002228247,0.00002882912,0.000003314294,0.00002875562,0.00001225928,7.546946e-7,0.000005106472,0.00006256807,0.001224254,0.000007099282,0.9966098,0.001994963],"study_design_scores_gemma":[0.0004545261,0.0003593291,0.002103992,0.0003430815,0.000007861933,0.000009566356,0.00007754061,0.02301242,0.006317223,0.000277089,0.9667616,0.0002757024],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004905107,0.00001005083,0.00001973866,0.00001658108,0.00001957016,0.000177582,0.9971375,0.00002956132,0.002098927],"genre_scores_gemma":[0.003793971,0.000002010496,0.0007430643,0.00005000205,0.00008374975,0.001228877,0.9693114,0.00001826893,0.02476867],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8739568,"threshold_uncertainty_score":0.4434437,"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."}}