{"id":"W6982794558","doi":"","title":"10.-12. klašu skolēnu medijpratība","year":2018,"lang":"lv","type":"dissertation","venue":"E-resource repository of the University of Latvia (University of Latvia)","topic":"Literacy, Media, and Education","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); State (computer science); Term (time); Taxpayer; Power (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":[],"consensus_categories":[],"category_scores_codex":[0.0009910837,0.0005329298,0.0002540135,0.000868671,0.004732857,0.006180744,0.0006950013,0.003239245,0.04635693],"category_scores_gemma":[0.002134048,0.0002768491,0.0004592608,0.0009452223,0.004132062,0.003770279,0.003320783,0.004523536,0.01631072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004150041,"about_ca_system_score_gemma":0.004986553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02062322,"about_ca_topic_score_gemma":0.03753395,"domain_scores_codex":[0.9984204,0.0004690687,0.00008193254,0.0002543974,0.000428071,0.0003461991],"domain_scores_gemma":[0.9990473,0.0002469649,0.0001201407,0.00006670732,0.0002957739,0.0002231029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001118152,0.0001501577,0.004026621,0.0004468019,0.00001923702,0.000654083,0.03954643,0.00007540035,0.001257794,0.698684,0.2050423,0.04998529],"study_design_scores_gemma":[0.00001212036,0.00004469342,0.007263437,0.0003464767,0.000009213918,0.0003062454,0.01262135,0.00004572733,0.0004562786,0.02014775,0.9587272,0.00001956832],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01453131,0.007473266,0.001176724,0.03583817,0.00217754,0.00009020301,0.0004532648,0.00009953418,0.9381599],"genre_scores_gemma":[0.1722009,0.007148356,0.001605576,0.01179547,0.0008314437,0.0002038612,0.0003479004,0.0001588537,0.8057075],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04635693,"threshold_uncertainty_score":0.1550793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01206418746344698,"score_gpt":0.1798680954754227,"score_spread":0.1678039080119757,"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."}}