{"id":"W7011639002","doi":"","title":"Nenshi on Candid Camera & The Fentanyl Solution","year":2016,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fentanyl; MEDLINE; Action (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":[],"category_scores_codex":[0.0003142908,0.0008101822,0.0007710617,0.001138472,0.000859328,0.001395549,0.0006517954,0.001682704,0.5864124],"category_scores_gemma":[0.001736785,0.0004127186,0.000583794,0.0003694308,0.0004731567,0.001083807,0.00120087,0.002631616,0.3338673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003328495,"about_ca_system_score_gemma":0.0006077497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002707752,"about_ca_topic_score_gemma":0.008599146,"domain_scores_codex":[0.999685,0.0000322718,0.00001722662,0.00004551106,0.0001784723,0.00004138608],"domain_scores_gemma":[0.9995727,0.0001008102,0.00002715999,0.00003536201,0.0001057274,0.0001582173],"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":[0.0002785028,0.00008258067,0.0002088539,0.0001962624,0.000006361012,0.0009239433,0.00006294005,0.00004230369,0.002739749,0.001294227,0.7654368,0.2287276],"study_design_scores_gemma":[0.00005260672,0.00008859468,0.000860333,0.0001597642,0.000007013232,0.002036308,0.00006417786,0.000145849,0.001242741,0.0004860756,0.9948428,0.00001378062],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001970717,0.008307336,0.003806311,0.009415677,0.004759582,0.0003559573,0.001205816,0.004106269,0.9660724],"genre_scores_gemma":[0.004629923,0.003996985,0.002571635,0.002824664,0.0005375899,0.00007572871,0.0003279907,0.0007055048,0.98433],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5864124,"threshold_uncertainty_score":0.5899326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009637078660520828,"score_gpt":0.2160177072828355,"score_spread":0.2063806286223147,"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."}}