{"id":"W4377077619","doi":"10.2139/ssrn.4441724","title":"Genetically Inferred Birthweight, Height, and Puberty Timing and Risk of Osteosarcoma","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Birth, Development, and Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Osteosarcoma; Medicine; Pediatrics; Demography; Cancer research; Sociology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00109488,0.0005694605,0.0004108264,0.0010174,0.0003143675,0.000792924,0.0005286054,0.0009770436,0.00515219],"category_scores_gemma":[0.00642,0.000480547,0.000747444,0.001212186,0.000446863,0.000279747,0.000638882,0.0008626086,0.000399543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002048994,"about_ca_system_score_gemma":0.0003364243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005046183,"about_ca_topic_score_gemma":0.002918914,"domain_scores_codex":[0.9992299,0.0003393061,0.0000504154,0.0002128513,0.00008883164,0.0000786622],"domain_scores_gemma":[0.9962024,0.001806353,0.00098775,0.0005743745,0.0001226893,0.0003065012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009174002,0.000087589,0.9890609,0.00001939077,0.000536781,0.0004496731,0.0001217408,0.0008609457,0.001509232,0.0003378793,0.0002386344,0.005859754],"study_design_scores_gemma":[0.00004016815,0.0001689437,0.9957847,0.00002605763,0.0002805598,0.0006292964,0.000115664,0.001536659,0.0003112344,0.0007579656,0.0003359151,0.00001281649],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971833,0.0005338686,0.0005642753,0.0001668964,0.00002901489,0.000002383357,0.0009284647,0.00001600481,0.0005758158],"genre_scores_gemma":[0.9976695,0.0004023605,0.0004518092,0.00002776577,0.00004068814,0.000003521236,0.0005692322,0.0000205027,0.0008145481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00515219,"threshold_uncertainty_score":0.01723582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02613535960202687,"score_gpt":0.2888365621954992,"score_spread":0.2627012025934724,"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."}}