{"id":"W6949810797","doi":"10.5281/zenodo.6071051","title":"Musca rapax 1849","year":2016,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Forensic Entomology and Diptera Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Data collection; Work (physics); MEDLINE","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":[0.0002099898,0.001415533,0.0005407193,0.002372796,0.00202588,0.000753538,0.0008121232,0.001193276,0.02989344],"category_scores_gemma":[0.0004519062,0.000330484,0.0002149123,0.001412204,0.0006716842,0.001630915,0.0009462521,0.0007932414,0.02850722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006268612,"about_ca_system_score_gemma":0.0002299229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003765729,"about_ca_topic_score_gemma":0.007078392,"domain_scores_codex":[0.9996306,0.00005462269,0.00004271729,0.0001397342,0.00009737213,0.0000350262],"domain_scores_gemma":[0.9997514,0.00002691138,0.0001311174,0.00002852771,0.00004827667,0.00001384851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004093563,0.000160796,0.01427159,0.001163815,0.0001610481,0.002624794,0.001754508,0.0007199523,0.01712793,0.01219646,0.1012813,0.8481285],"study_design_scores_gemma":[0.0000301743,0.0001756187,0.04758135,0.0005771113,0.0001142618,0.006885841,0.0004582903,0.0002180241,0.00197319,0.001434593,0.9405253,0.00002624267],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07268234,0.04815689,0.005402288,0.00145873,0.001932884,0.0007091737,0.009037749,0.001382646,0.8592374],"genre_scores_gemma":[0.6907726,0.02567899,0.01385605,0.003200492,0.001613173,0.0006666319,0.01010917,0.0002020201,0.2539009],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02989344,"threshold_uncertainty_score":0.1000035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03417072273562643,"score_gpt":0.2202691009884545,"score_spread":0.186098378252828,"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."}}