{"id":"W7046960280","doi":"","title":"Equações preditivas para as pressões respiratórias máximas de
\\ncrianças brasileiras","year":2014,"lang":"en","type":"article","venue":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Linear regression; Respiratory system; Regression analysis; Correlation; Linear correlation; Software package; Linear relationship; Pearson product-moment correlation coefficient","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":[0.001862235,0.0009014335,0.0007650068,0.002240831,0.0007626114,0.001457032,0.0005477588,0.0008774842,0.006550333],"category_scores_gemma":[0.01016592,0.0007138267,0.0009278525,0.00185566,0.001375805,0.0006703684,0.0006813399,0.0008736191,0.001235971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001233364,"about_ca_system_score_gemma":0.001121185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04627485,"about_ca_topic_score_gemma":0.04690429,"domain_scores_codex":[0.9987743,0.0003046724,0.0001147388,0.0003667338,0.0002592879,0.0001801867],"domain_scores_gemma":[0.9943354,0.002144258,0.002103748,0.0005189548,0.0005837064,0.0003140128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003628771,0.0001550863,0.9278698,0.0004942796,0.0001637747,0.0005396329,0.001688623,0.0003744103,0.002657859,0.001236126,0.001018221,0.06343943],"study_design_scores_gemma":[0.00002157503,0.0002867412,0.9914997,0.0002474109,0.0001333234,0.0009663223,0.0006659728,0.0006614089,0.0006715699,0.0004940205,0.004325015,0.00002698365],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9626859,0.006038751,0.002507243,0.0005787782,0.0001488786,0.0001956248,0.002997842,0.0005034587,0.02434354],"genre_scores_gemma":[0.99288,0.002257586,0.002625042,0.0000837042,0.0000773896,0.0001171524,0.0006084139,0.00003495695,0.001315723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04627485,"threshold_uncertainty_score":0.09201097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06246309412430089,"score_gpt":0.3800476245448501,"score_spread":0.3175845304205492,"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."}}