{"id":"W7049099745","doi":"","title":"Muusikavaldkond trükiajakirjanduses ja muusikaportaalis Rada 7","year":2015,"lang":"et","type":"dissertation","venue":"DSpace repository (University of Tartu)","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human life; Human being; Confession (law)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000269041,0.0006924511,0.001089233,0.0004273169,0.0003134555,0.00006858533,0.0008627288,0.001228737,0.0007167415],"category_scores_gemma":[0.00007311765,0.0009755496,0.0004516242,0.0004275893,0.0002184241,0.000410307,0.0001345564,0.0008637545,0.00005739121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002990514,"about_ca_system_score_gemma":0.0004142264,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00950651,"about_ca_topic_score_gemma":0.002346101,"domain_scores_codex":[0.9971588,0.0001776547,0.0004956058,0.0007287168,0.0008921576,0.0005470837],"domain_scores_gemma":[0.9971497,0.0001373165,0.0006304403,0.001099255,0.0005897686,0.0003935115],"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":[0.001382497,0.0006833395,0.003995975,0.007616314,0.002488805,0.004241293,0.1043177,0.002255782,0.1992891,0.0009741901,0.6627283,0.01002677],"study_design_scores_gemma":[0.004442028,0.001833237,0.01072255,0.003568317,0.003674231,0.0003121156,0.1075838,0.008485388,0.1252097,0.000523909,0.7277665,0.005878238],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7878323,0.002407587,0.0002110893,0.0002011649,0.00210333,0.0007987262,0.0001340003,0.000667954,0.2056439],"genre_scores_gemma":[0.7885394,0.001608331,0.01359679,0.00002912322,0.0004566089,0.000003114537,0.000948544,0.0002392836,0.1945788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07407934,"threshold_uncertainty_score":0.9992695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009750400013086547,"score_gpt":0.201654066502011,"score_spread":0.1919036664889244,"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."}}