{"id":"W6950228216","doi":"10.5281/zenodo.7888835","title":"Rosa pendulina L.","year":2014,"lang":"ceb","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université de Sherbrooke","funders":"","keywords":"Identification (biology); Selection (genetic algorithm); Natural (archaeology)","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":[0.000338795,0.0008377903,0.0004850113,0.00152582,0.001002474,0.0006897019,0.0007065426,0.0005718668,0.03524539],"category_scores_gemma":[0.0002820236,0.0002048326,0.0004094131,0.0006552875,0.0002922381,0.0003980102,0.0009224908,0.000783835,0.01954497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006099886,"about_ca_system_score_gemma":0.0002264575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002953454,"about_ca_topic_score_gemma":0.004005274,"domain_scores_codex":[0.9998373,0.00001499548,0.000006023381,0.00007534926,0.00004545812,0.00002089584],"domain_scores_gemma":[0.9998401,0.00001433762,0.00004626695,0.00002439911,0.00003274217,0.00004204458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0009323559,0.0002211452,0.002739941,0.0007155176,0.0001115762,0.001527538,0.0002861681,0.0002563008,0.4805259,0.03277547,0.1249792,0.3549289],"study_design_scores_gemma":[0.00002385121,0.00007118905,0.008665165,0.00004929494,0.00003449661,0.0009397407,0.000062626,0.0001001736,0.01724597,0.001295181,0.9714944,0.00001790231],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1567778,0.09209546,0.04108422,0.02681847,0.01277178,0.0007449666,0.02411715,0.01087238,0.6347178],"genre_scores_gemma":[0.3376873,0.0157616,0.02304536,0.004580784,0.001152298,0.0003592474,0.01064107,0.00138185,0.6053906],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03524539,"threshold_uncertainty_score":0.1179076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03873615992454252,"score_gpt":0.2604382435594156,"score_spread":0.2217020836348731,"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."}}