{"id":"W2024217092","doi":"10.1007/s10439-007-9392-9","title":"The Power Law of Sensory Adaptation: Simulation by a Model of Excitability in Spider Mechanoreceptor Neurons","year":2007,"lang":"en","type":"article","venue":"Annals of Biomedical Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Adaptation (eye); Mechanoreceptor; Sensory Adaptation; Sensory system; Neuroscience; Action (physics); Noise (video); Power law; Physics; Stimulation; Biological system; Communication; Computer science; Control theory (sociology); Mathematics; Biology; Artificial intelligence; Psychology; Quantum mechanics","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":[],"consensus_categories":[],"category_scores_codex":[0.0003245574,0.0002987199,0.0006808281,0.0004529439,0.000468783,0.0008282362,0.0008697842,0.001893422,0.001680644],"category_scores_gemma":[0.002238109,0.000386567,0.0007275355,0.0004283021,0.001024255,0.0009903139,0.0005971515,0.0009022502,0.0001668027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006602502,"about_ca_system_score_gemma":0.0005716602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0130439,"about_ca_topic_score_gemma":0.005099027,"domain_scores_codex":[0.9999188,0.00002475635,0.000004265662,0.00001338129,0.00001459087,0.00002414823],"domain_scores_gemma":[0.9994389,0.0003498342,0.00004394652,0.00003192461,0.00005383742,0.00008151923],"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":[0.00005404645,0.00004021696,0.0008466276,0.0000243261,0.00002145813,0.0001557028,0.00009913644,0.9861332,0.002065398,0.008833702,0.0003504644,0.001375786],"study_design_scores_gemma":[0.000007011442,0.000004887904,0.000141524,0.000001008079,0.000002238036,0.000008589402,0.000006787846,0.9982168,0.00005904646,0.001516819,0.00003257678,0.000002720049],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9229462,0.0004141275,0.06264081,0.001246457,0.00007693696,0.00004159068,0.0001471767,0.000230582,0.01225615],"genre_scores_gemma":[0.9970168,0.000119824,0.001555469,0.00005408571,0.00001282587,0.00001815584,0.0000224609,0.00002620242,0.001174295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0130439,"threshold_uncertainty_score":0.02593595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05703004910795625,"score_gpt":0.2927596050274511,"score_spread":0.2357295559194948,"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."}}