{"id":"W7132674719","doi":"","title":"Generál Karel Lukas. Životní příběh severomoravského rodáka","year":2016,"lang":"cs","type":"article","venue":"ASEP","topic":"European Law and Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Battle; Karel; Adversary; Officer; Communism; Power (physics); State (computer science)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007076154,0.0002470834,0.000238794,0.00005855021,0.0005513405,0.0001332667,0.0004503181,0.0001912188,0.00206566],"category_scores_gemma":[0.0002355855,0.0001819914,0.0001696434,0.0003076236,0.0003612911,0.0004545924,0.0001034132,0.0001341475,0.007352145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001433046,"about_ca_system_score_gemma":0.0002412702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001440221,"about_ca_topic_score_gemma":0.00356908,"domain_scores_codex":[0.9975193,0.0004479853,0.000355635,0.0005191095,0.0005387449,0.0006192947],"domain_scores_gemma":[0.9987592,0.0001644269,0.0001882952,0.0004485321,0.0001481133,0.000291477],"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":[0.0000890776,0.0004750604,0.006295281,0.00006262149,0.0001960279,0.0002195793,0.02056507,0.000007586589,0.02008041,0.2005471,0.5105668,0.2408954],"study_design_scores_gemma":[0.0005736311,0.0001253386,0.004174507,0.0001107823,0.00006417325,0.000002610273,0.0005978161,0.00001288878,0.001837169,0.001009814,0.9910896,0.0004016763],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4991502,0.001875452,0.001209512,0.01435921,0.005011574,0.0006087142,0.0001753488,0.0003344015,0.4772755],"genre_scores_gemma":[0.8192993,0.001153476,0.0001879491,0.001029716,0.001931663,0.000006804615,0.0000135488,0.00003915574,0.1763384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4805228,"threshold_uncertainty_score":0.9988466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01981992880952963,"score_gpt":0.2721251437375386,"score_spread":0.2523052149280089,"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."}}