{"id":"W2098656920","doi":"10.22456/1982-8918.2450","title":"A MECANOGRAFIA COMO TÉCNICA NÃO-INVASIVA PARA O ESTUDO DA FUNÇÃO MUSCULAR","year":2007,"lang":"pt","type":"article","venue":"Movimento (Porto Alegre)","topic":"Mechanics and Biomechanics Studies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Skeletal muscle; Muscle contraction; Contraction (grammar); Physical medicine and rehabilitation; Medicine; Neuroscience; Physics; Humanities; Psychology; Internal medicine; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.002174798,0.00134172,0.001388079,0.0005818247,0.0005846129,0.0003014723,0.0009970706,0.0006554118,0.001007912],"category_scores_gemma":[0.00007873451,0.001352899,0.0007570355,0.001237998,0.0001075094,0.0002486094,0.0007706215,0.00085713,0.0009352533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005312876,"about_ca_system_score_gemma":0.0001346038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003872385,"about_ca_topic_score_gemma":0.00070605,"domain_scores_codex":[0.9929256,0.0001012429,0.00175865,0.001393267,0.001452147,0.002369082],"domain_scores_gemma":[0.9964986,0.000179565,0.0004339264,0.001737186,0.0002679249,0.000882779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001189108,0.009183668,0.009926666,0.007788447,0.02842205,0.01278459,0.02312103,0.00113476,0.3711197,0.2107385,0.1899929,0.1345986],"study_design_scores_gemma":[0.008416938,0.00246536,0.003583652,0.001709529,0.00294474,0.0003043901,0.006904212,0.03005427,0.1238991,0.005050248,0.8066636,0.008004042],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5703519,0.0904232,0.2516961,0.004525774,0.0228327,0.009332216,0.001020917,0.004031974,0.04578529],"genre_scores_gemma":[0.9841271,0.003080885,0.002843971,0.0005416106,0.0007860134,0.0001088494,0.0001675167,0.000322104,0.008021951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6166707,"threshold_uncertainty_score":0.9999334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03467561947269828,"score_gpt":0.2661935802488122,"score_spread":0.2315179607761139,"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."}}