{"id":"W2937990255","doi":"10.1007/s10974-019-09503-3","title":"Rapid time-stamped analysis of filament motility","year":2018,"lang":"en","type":"article","venue":"Journal of Muscle Research and Cell Motility","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Protein filament; Motility; Myosin; Biophysics; Biological system; Physics; Algorithm; Biology; Computer science; Cell biology; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002548552,0.0002932003,0.0002686782,0.0005892919,0.0003316806,0.0004382164,0.0005618893,0.0004592079,0.004038498],"category_scores_gemma":[0.0005182654,0.0001984565,0.0001787218,0.0004480373,0.0003199702,0.0004028614,0.0004032201,0.001118301,0.001231497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004124354,"about_ca_system_score_gemma":0.0003043932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007861917,"about_ca_topic_score_gemma":0.002564669,"domain_scores_codex":[0.9997874,0.00001714056,0.000008934415,0.00004757186,0.00009759614,0.00004141934],"domain_scores_gemma":[0.9996588,0.0001055393,0.00005397117,0.00006319686,0.00007238393,0.0000461543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001061213,0.00001205129,0.0001954001,0.00003898369,0.000005743086,0.00003189305,0.00002417749,0.0001536757,0.9934115,0.0005914783,0.0004736413,0.004955356],"study_design_scores_gemma":[0.00003367371,0.0001438153,0.008454868,0.00001572253,0.00001507023,0.0002796276,0.00005619325,0.01473495,0.9711751,0.0005133538,0.004542916,0.00003468297],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7133017,0.002392293,0.2627293,0.0007399874,0.0006078718,0.0002033923,0.005861617,0.002065014,0.01209882],"genre_scores_gemma":[0.8139887,0.001817824,0.1694529,0.0002317595,0.0001269247,0.000386337,0.00281618,0.0003299318,0.01084935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004038498,"threshold_uncertainty_score":0.01351005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09575332968029893,"score_gpt":0.352374557081747,"score_spread":0.256621227401448,"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."}}