{"id":"W6948555584","doi":"10.5064/f6gzgcjb/o7p6l9","title":"Lum_53081.Patient_SC_2018.02.12_Alberta.pdf","year":2022,"lang":"nl","type":"dataset","venue":"Syracuse University Qualitative Data Repository","topic":"Forensic Entomology and Diptera Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of Nursing Research; National Institutes of Health","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":[0.001711745,0.001311542,0.001481379,0.002722598,0.001089266,0.00400876,0.002688138,0.002154018,0.5576605],"category_scores_gemma":[0.01362046,0.001033587,0.0009123877,0.005827273,0.0004349196,0.001583341,0.002317061,0.001257346,0.3580973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003276891,"about_ca_system_score_gemma":0.004376716,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06928017,"about_ca_topic_score_gemma":0.1001568,"domain_scores_codex":[0.999002,0.000162102,0.000122699,0.0002993003,0.00017808,0.0002358616],"domain_scores_gemma":[0.9950111,0.001961278,0.0003709663,0.000759689,0.001166965,0.0007300697],"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":[0.00004386198,0.000006164745,0.0002805394,0.0002632688,0.000006374445,0.000008905283,0.00001089545,0.00003439386,0.00001248043,0.0002394442,0.9971359,0.001957774],"study_design_scores_gemma":[0.0005225097,0.00001641946,0.00277145,0.0008366185,0.00002388268,0.000055654,0.0000866297,0.0002015834,0.0001681564,0.001499614,0.9937878,0.00002960247],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005102948,0.00004748344,0.00003565273,0.000138366,0.00001844033,0.00001348897,0.9967421,0.0002106795,0.002742796],"genre_scores_gemma":[0.001003779,0.0001840569,0.0002816389,0.0003094721,0.00003326812,0.0002555555,0.9901933,0.0002867761,0.007452182],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9307199,"threshold_uncertainty_score":0.6309435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05594076079788167,"score_gpt":0.2924370370812369,"score_spread":0.2364962762833552,"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."}}