{"id":"W6931612694","doi":"10.5281/zenodo.5452591","title":"Aradus antennalis PARSHLEY 1921","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Maternal and Neonatal Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Product (mathematics); Government (linguistics); Work (physics)","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":[],"consensus_categories":[],"category_scores_codex":[0.0001030804,0.0004050609,0.0002053062,0.001051378,0.001123974,0.0002350264,0.0004049682,0.0004844215,0.01347048],"category_scores_gemma":[0.0003805836,0.0002296175,0.0001382748,0.000435117,0.00041603,0.0007661299,0.0006098427,0.0003855242,0.004412681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003295037,"about_ca_system_score_gemma":0.0001645368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002964308,"about_ca_topic_score_gemma":0.006932881,"domain_scores_codex":[0.9998189,0.00002401884,0.00001095288,0.00005999985,0.00006589072,0.00002026381],"domain_scores_gemma":[0.9998583,0.00004230538,0.00003878618,0.00001502135,0.00003451221,0.00001104632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003068987,0.00009393683,0.02271766,0.0005926121,0.00006120303,0.001970188,0.001976695,0.0008998833,0.02649326,0.005137459,0.04043502,0.8993151],"study_design_scores_gemma":[0.0001009161,0.0005968327,0.3937764,0.0005296827,0.0001251382,0.01331519,0.002091135,0.001201589,0.007046236,0.00320471,0.5779418,0.00007034801],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3943913,0.008488473,0.004318974,0.0006860663,0.0008392211,0.0001984301,0.002586429,0.0008465747,0.5876445],"genre_scores_gemma":[0.9608254,0.00184312,0.003528185,0.0004906425,0.0002705586,0.0000702357,0.0007792759,0.00003795536,0.03215462],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01347048,"threshold_uncertainty_score":0.0450632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1556447138082581,"score_gpt":0.403912136878794,"score_spread":0.2482674230705359,"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."}}