{"id":"W3003849550","doi":"10.1249/fit.0000000000000449","title":"Ten Important Facts About Core Training","year":2019,"lang":"en","type":"article","venue":"ACSMʼs Health & Fitness Journal","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Training (meteorology); Core (optical fiber); Computer science; Geography; Meteorology; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.001707085,0.0001863178,0.0005304855,0.0001785301,0.0002336443,0.00003520696,0.000113414,0.0001247105,0.0007549169],"category_scores_gemma":[0.0002650028,0.0001331922,0.000199281,0.0002094089,0.00006453593,0.0001704287,0.00001945756,0.0007321679,0.0001162067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002039634,"about_ca_system_score_gemma":0.0009903162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004857435,"about_ca_topic_score_gemma":0.0000135146,"domain_scores_codex":[0.997701,0.0001031375,0.000834926,0.0002467212,0.0005309106,0.0005832621],"domain_scores_gemma":[0.9983292,0.0001456847,0.0004421021,0.0002575778,0.0001897381,0.0006356685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000631254,0.0005122665,0.6464773,0.005279643,0.0002672239,0.0001361145,0.01945681,0.0001027923,0.01148124,0.002480287,0.01031122,0.3028639],"study_design_scores_gemma":[0.003001301,0.001502045,0.971907,0.001431472,0.00002525588,0.0006594502,0.002944612,0.0005411496,0.00003620987,0.0008513319,0.01686518,0.0002350623],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846953,0.001630963,0.0001740003,0.00972787,0.001112764,0.0006063254,0.000004436531,0.00005322815,0.001995135],"genre_scores_gemma":[0.9929013,0.0005145681,0.001095081,0.003660198,0.000578159,0.000007116165,0.000023915,0.00003512349,0.001184523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3254296,"threshold_uncertainty_score":0.8265811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04095730391016664,"score_gpt":0.3546462129533508,"score_spread":0.3136889090431841,"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."}}