{"id":"W6901996585","doi":"10.6084/m9.figshare.26011835","title":"Additional file 1 of Serum concentrations of legacy, alternative, and precursor per- and polyfluoroalkyl substances: a descriptive analysis of adult female participants in the MIREC-ENDO study","year":2024,"lang":"en","type":"article","venue":"Open MIND","topic":"Per- and polyfluoroalkyl substances research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Health Canada","funders":"","keywords":"Serum concentration; Descriptive statistics; Statistical analysis; Analysis of variance","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001012587,0.0007422454,0.001072877,0.001280925,0.000824153,0.0007791615,0.001207462,0.0008517762,0.5255765],"category_scores_gemma":[0.01279732,0.0003548458,0.0005832188,0.002463201,0.0001870306,0.0008904996,0.000553296,0.0004912958,0.03858635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006569477,"about_ca_system_score_gemma":0.0009627348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006805575,"about_ca_topic_score_gemma":0.008234902,"domain_scores_codex":[0.9994891,0.0001022015,0.0001199606,0.0001422316,0.00007656246,0.00006991879],"domain_scores_gemma":[0.9929803,0.004063611,0.001192159,0.0005646262,0.0009751394,0.0002241838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.002498365,0.001022796,0.08280513,0.006794895,0.0002782301,0.0003179653,0.000518739,0.0005596718,0.0004229599,0.001643215,0.8690696,0.0340685],"study_design_scores_gemma":[0.01032877,0.002169326,0.5435201,0.005731646,0.0006992886,0.002699701,0.003140865,0.002529995,0.001809018,0.01158814,0.415445,0.0003380753],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.005296132,0.00007217325,0.0004653099,0.0001024859,0.00003219782,0.0004205437,0.9919264,0.00009454993,0.001590194],"genre_scores_gemma":[0.09329975,0.0004783075,0.007889159,0.001086302,0.0001791411,0.01536153,0.8615258,0.00027617,0.01990388],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5255765,"threshold_uncertainty_score":0.6767076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06329708860522719,"score_gpt":0.3372391127442648,"score_spread":0.2739420241390376,"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."}}