{"id":"W7052667838","doi":"","title":"[18.01.23]Sherman's - Killers On The Loose(465)","year":2023,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Nuclear reactor physics and engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Settlement (finance); Homicide; Natural (archaeology); Relation (database)","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":[0.0009687407,0.0009442451,0.0005417978,0.001570369,0.002929958,0.004966747,0.001182654,0.002866517,0.5288955],"category_scores_gemma":[0.002802352,0.0007480066,0.0005213783,0.002412264,0.0008023006,0.00217017,0.00162062,0.002573511,0.4125446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004928269,"about_ca_system_score_gemma":0.003898496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2867941,"about_ca_topic_score_gemma":0.5592064,"domain_scores_codex":[0.9994226,0.00004865568,0.00001693459,0.00005479052,0.00030646,0.0001507347],"domain_scores_gemma":[0.9989805,0.00008251595,0.00003940674,0.00009500924,0.0006244508,0.0001780498],"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":[0.00001237793,0.000002650063,0.00007869273,0.00002301419,8.836588e-7,0.00001484828,0.00004462958,0.00001638527,0.00003280235,0.002203613,0.9935123,0.004057844],"study_design_scores_gemma":[0.000004428665,0.00000400729,0.000603691,0.00003336296,0.00000137427,0.00001046938,0.00004960884,0.00001878244,0.00004597248,0.0003275586,0.9988956,0.000004960551],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003476727,0.0008700227,0.0005989181,0.003368423,0.001403975,0.0001139513,0.02068799,0.002342168,0.9702669],"genre_scores_gemma":[0.002058472,0.0004863243,0.000280877,0.0008500871,0.0001940138,0.00005200164,0.005566237,0.001144095,0.9893679],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4711045,"threshold_uncertainty_score":0.6719733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006630748015124651,"score_gpt":0.162689069253372,"score_spread":0.1560583212382473,"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."}}