{"id":"W7047364759","doi":"","title":"Fetal growth and adult HPA-Axis function. Supplementary data","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Child health; Data collection; Fetal growth; Longitudinal data; Test (biology); Public health","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00136486,0.001568552,0.001590354,0.002447543,0.0008380624,0.002725603,0.002427139,0.002267172,0.3085666],"category_scores_gemma":[0.01575333,0.0007911997,0.001676407,0.004558028,0.0003599642,0.001502756,0.002083019,0.001557934,0.1154432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001092641,"about_ca_system_score_gemma":0.002111264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01596696,"about_ca_topic_score_gemma":0.02720935,"domain_scores_codex":[0.9989198,0.0001871785,0.0001980915,0.0003645638,0.0001809902,0.0001493193],"domain_scores_gemma":[0.9941201,0.00332541,0.0005806793,0.0008722659,0.000798736,0.0003027787],"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":[0.0002083714,0.00002344914,0.003547759,0.0032011,0.0001459571,0.00004357298,0.00004532493,0.0003052652,0.0001279934,0.0004520178,0.9874786,0.004420596],"study_design_scores_gemma":[0.0011097,0.00006509158,0.03043612,0.002712751,0.0003263786,0.000342472,0.0001516181,0.000505926,0.0003939403,0.004166757,0.9597024,0.00008685165],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006395829,0.00008109443,0.00003201105,0.00003173136,0.00001422732,0.000006838673,0.999486,0.00006250383,0.000221541],"genre_scores_gemma":[0.00136797,0.0001817193,0.000451299,0.0001294251,0.00002331859,0.0002508142,0.9963931,0.0001176255,0.001084761],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3085666,"threshold_uncertainty_score":0.9862458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0382456085924756,"score_gpt":0.2775288746412219,"score_spread":0.2392832660487463,"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."}}