{"id":"W6948695983","doi":"10.5281/zenodo.11924751","title":"sheila heti maternidad pdf","year":2024,"lang":"pl","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Buckle; Limiting; Ceylon; Pretext; 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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000566635,0.0008601086,0.0007094094,0.001531643,0.001721407,0.005002785,0.001315907,0.001521583,0.927036],"category_scores_gemma":[0.003438924,0.0006033508,0.0005876399,0.001320783,0.0005532744,0.002642849,0.003865062,0.002368523,0.8477315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001538124,"about_ca_system_score_gemma":0.002184812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005984447,"about_ca_topic_score_gemma":0.01551509,"domain_scores_codex":[0.9995236,0.00004230522,0.00001712539,0.00005554248,0.0002428438,0.0001185133],"domain_scores_gemma":[0.9978923,0.0002069797,0.00008718233,0.0001542984,0.0007630766,0.0008960659],"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":[0.00002436132,0.00002113615,0.00006571041,0.00007826184,9.051887e-7,0.00007042702,0.00004731301,0.00001255535,0.0001072347,0.000863528,0.9603422,0.03836654],"study_design_scores_gemma":[0.00000513246,0.000007084369,0.0001964028,0.00005718931,6.752326e-7,0.00006895618,0.0000694933,0.000007062944,0.00005367655,0.0001172011,0.9994133,0.000003882609],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002382218,0.0005268626,0.0002517502,0.001669273,0.001484427,0.00007202288,0.002603462,0.002063431,0.9910905],"genre_scores_gemma":[0.001012545,0.0005601849,0.0002871715,0.0006429445,0.0002498766,0.00003114523,0.00123574,0.0007497517,0.9952306],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07296401,"threshold_uncertainty_score":0.1040743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02375093561778076,"score_gpt":0.2583568264985698,"score_spread":0.2346058908807891,"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."}}