{"id":"W2952357869","doi":"10.48550/arxiv.0806.2099","title":"Metabolic scaling law for fetus and placenta","year":2008,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Placenta; Fetus; Scaling law; Law; Scaling; Medicine; Pregnancy; Biology; Political science; Mathematics; Genetics","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":[0.001106582,0.000639558,0.0007924526,0.001356043,0.001118341,0.001904289,0.001414291,0.00201236,0.01229831],"category_scores_gemma":[0.006732516,0.000430253,0.001072771,0.0008109219,0.002354032,0.004419564,0.001882664,0.002937421,0.001934905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001115677,"about_ca_system_score_gemma":0.0007672898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001703777,"about_ca_topic_score_gemma":0.001010476,"domain_scores_codex":[0.9993943,0.0001131667,0.00002967486,0.0001714926,0.0001943386,0.00009704934],"domain_scores_gemma":[0.9977488,0.0009191363,0.0002553707,0.0003254973,0.0004640017,0.0002872383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001163104,0.00001043061,0.0002779803,0.00004436407,0.000008704144,0.0001545487,0.00007824211,0.002756022,0.001436448,0.9819519,0.005389511,0.00788015],"study_design_scores_gemma":[0.000009704808,0.00001662579,0.0007010566,0.00002706953,0.00001023964,0.0004299363,0.00003170812,0.02689721,0.0004179027,0.9562632,0.01516915,0.00002606058],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04069319,0.005571353,0.7783598,0.01744985,0.002056151,0.00009937633,0.00127973,0.0006226482,0.1538679],"genre_scores_gemma":[0.6879617,0.008082879,0.1878145,0.007344235,0.005186263,0.0006103811,0.0009467391,0.0009373822,0.1011159],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01229831,"threshold_uncertainty_score":0.04114199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0648338856077675,"score_gpt":0.3086950069786077,"score_spread":0.2438611213708402,"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."}}