{"id":"W6931510224","doi":"10.5281/zenodo.6206514","title":"Pollenia ibalia Seguy 1930","year":2010,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Holotype; Homonym (biology); Key (lock); Fable; Type (biology)","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":[0.0001920899,0.0007343636,0.0002863581,0.001460637,0.002865644,0.0007676979,0.0005528371,0.0005583703,0.0213989],"category_scores_gemma":[0.000474849,0.0002094571,0.0001990914,0.0008158564,0.0009029945,0.0006177197,0.0006873737,0.000666959,0.005190971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002306707,"about_ca_system_score_gemma":0.0005232203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0161603,"about_ca_topic_score_gemma":0.01979735,"domain_scores_codex":[0.9998246,0.0000278323,0.000007475991,0.00005924374,0.00002950716,0.00005131731],"domain_scores_gemma":[0.9999202,0.00001359415,0.00002391863,0.000009956822,0.00002055195,0.00001172765],"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":[0.0008164221,0.00007622947,0.02043245,0.0008734823,0.00005081615,0.002615687,0.00775807,0.0005710595,0.02535425,0.04663206,0.05497136,0.839848],"study_design_scores_gemma":[0.00002987857,0.00008147935,0.05348802,0.0002179748,0.00003024686,0.002095911,0.0008015599,0.00009346065,0.001472822,0.001385455,0.9402864,0.00001687607],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2081772,0.02758633,0.003194402,0.0007543482,0.001425332,0.0002968949,0.003279423,0.001048214,0.7542379],"genre_scores_gemma":[0.925815,0.002665738,0.003125309,0.0005314677,0.000300785,0.0001381036,0.001694746,0.0001934048,0.06553551],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0213989,"threshold_uncertainty_score":0.07158643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02719787585478343,"score_gpt":0.2611728551717458,"score_spread":0.2339749793169623,"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."}}