{"id":"W1597405024","doi":"10.1002/jbmr.2369","title":"Untangling the Causality Knot: Another Tool for Clinical Researchers","year":2014,"lang":"en","type":"letter","venue":"Journal of Bone and Mineral Research","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lean body mass; Causality (physics); Body mass index; Osteoporosis; Medicine; Association (psychology); Bone mineral; Psychology; Body weight; Internal medicine; Physics","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":[0.05918062,0.001421153,0.003668995,0.003025731,0.005058263,0.009255894,0.004074443,0.0402296,0.01328937],"category_scores_gemma":[0.339779,0.001407271,0.002372113,0.001889485,0.01426103,0.02277034,0.005838925,0.08694559,0.005979982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003377264,"about_ca_system_score_gemma":0.007103208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002272999,"about_ca_topic_score_gemma":0.003745912,"domain_scores_codex":[0.9635522,0.02422844,0.003444576,0.002107243,0.005863893,0.0008036898],"domain_scores_gemma":[0.5669336,0.3841578,0.008566116,0.01207251,0.01994557,0.008324466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002590542,0.0000852321,0.00223742,0.0003347452,0.0001547593,0.00230654,0.001303414,0.0002210137,0.0001999089,0.03130663,0.8814102,0.080181],"study_design_scores_gemma":[0.0005074922,0.0002001706,0.001076054,0.001808377,0.000172076,0.004841541,0.002164112,0.002103891,0.0002455009,0.3924649,0.5941813,0.0002344653],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001406639,0.001930974,0.001837944,0.9873001,0.00782859,0.00001475918,0.00004047005,0.00004277401,0.0008637719],"genre_scores_gemma":[0.009516524,0.004241698,0.009500246,0.8998867,0.07300407,0.0002263266,0.00006193465,0.00006854651,0.003493966],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05918062,"threshold_uncertainty_score":0.3129808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3808272177497666,"score_gpt":0.5352369637120309,"score_spread":0.1544097459622643,"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."}}