{"id":"W7128345838","doi":"","title":"Training of dogs of the Police of the Czech Republic, intended for guns and ammunition search, and their utilization for protection of citizens","year":2010,"lang":"cs","type":"dissertation","venue":"Digital Repository (National Repository of Grey Literature)","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ammunition; Czech; Work (physics); Training (meteorology); Quarter (Canadian coin)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003129371,0.0003084927,0.0005063514,0.0001947482,0.0003004549,0.00009046112,0.0002748306,0.0004932745,5.312296e-7],"category_scores_gemma":[0.001021168,0.0002251877,0.000427537,0.0002221549,0.0006434497,0.00008933184,0.0001224212,0.000295397,8.774493e-9],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003765126,"about_ca_system_score_gemma":0.0003617284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008742657,"about_ca_topic_score_gemma":0.00007637344,"domain_scores_codex":[0.997678,0.0001415253,0.00116418,0.0004093514,0.0004482459,0.0001586958],"domain_scores_gemma":[0.9917171,0.0002571908,0.001824363,0.0003783546,0.005778851,0.00004413841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001073968,0.0001724421,0.0009534457,0.001756699,0.0004512701,7.725927e-8,0.008664891,0.00001720917,0.9841486,0.00130884,0.00003558545,0.001417039],"study_design_scores_gemma":[0.0006015706,0.0007050515,0.02122973,0.001197134,0.0001203766,0.00006804217,0.003308831,0.0002553569,0.9711785,0.0004218145,0.0007288599,0.0001846872],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936199,0.0007989392,0.0002333144,0.00003555155,0.0006707281,0.001391638,0.0009032136,0.000005137406,0.002341568],"genre_scores_gemma":[0.9973022,0.00004217698,0.0001208324,0.00001008309,0.0001887056,0.0001018087,0.0005024427,0.00003487406,0.001696862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02027629,"threshold_uncertainty_score":0.9182889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03738182129006682,"score_gpt":0.3215793238175234,"score_spread":0.2841975025274565,"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."}}