{"id":"W6929113477","doi":"10.48550/arxiv.1507.08653","title":"A General Hidden State Random Walk Model for Animal Movement","year":2015,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Microbial Metabolites in Food Biotechnology","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Movement (music); Random walk; Process (computing); State (computer science); Hidden Markov model; Taxis","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":[0.001472661,0.001034514,0.001258056,0.0007694986,0.0004820289,0.001442454,0.003230138,0.002906525,0.003954558],"category_scores_gemma":[0.003342859,0.0008176905,0.001515226,0.001133587,0.001269401,0.003080115,0.001116345,0.002253399,0.001375827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009734278,"about_ca_system_score_gemma":0.0009688219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009170728,"about_ca_topic_score_gemma":0.006267776,"domain_scores_codex":[0.999202,0.0002030638,0.0000392471,0.000303658,0.0001308114,0.0001213527],"domain_scores_gemma":[0.9987764,0.0006721803,0.0002015924,0.0001247763,0.0001638476,0.00006121558],"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":[0.0001003565,0.00005504014,0.002554323,0.0001019933,0.00009514447,0.0002947596,0.0001533248,0.8529779,0.00172171,0.1269758,0.001739145,0.01323048],"study_design_scores_gemma":[0.00001493563,0.00002293602,0.0002997459,0.000008402631,0.00001709876,0.00005194453,0.00001063371,0.9736713,0.0001306604,0.02486682,0.0008894148,0.00001607646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02383766,0.0004002578,0.9703439,0.001014877,0.0001896307,0.00004560031,0.0006910245,0.00040595,0.00307113],"genre_scores_gemma":[0.8373451,0.001520426,0.1231896,0.0006344998,0.0003635544,0.0004041541,0.002018705,0.0002139157,0.03431005],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009170728,"threshold_uncertainty_score":0.01823473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08208431170756837,"score_gpt":0.2197334059176627,"score_spread":0.1376490942100943,"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."}}