{"id":"W4285537312","doi":"10.5817/cz.muni.p210-9876-2021-4","title":"Využití stanovení celkového uhlíku pro výpočet obsahu spalitelných látek a transformace postupu do výuky chemie","year":2021,"lang":"en","type":"article","venue":"","topic":"Education, Psychology, and Social Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Loss on ignition; USable; Soil water; Sample (material); Chemistry; Carbon fibers; Mathematics; Environmental chemistry; Mathematics education; Computer science; Statistics; Environmental science; Soil science; Chromatography; Algorithm; Multimedia","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007530018,0.0003181239,0.0004785258,0.001547065,0.002532566,0.004533761,0.0004836643,0.0007046796,0.01548527],"category_scores_gemma":[0.001208583,0.0002085108,0.000374609,0.001466731,0.001791782,0.002154169,0.002580326,0.002169371,0.002724566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0017132,"about_ca_system_score_gemma":0.002501443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002191519,"about_ca_topic_score_gemma":0.004677334,"domain_scores_codex":[0.9995,0.00009088581,0.00003174924,0.0001471673,0.0001459041,0.00008423731],"domain_scores_gemma":[0.9993886,0.0001249368,0.00009177045,0.00008213692,0.0001662833,0.0001462825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006216303,0.0006289784,0.04891372,0.001922774,0.0001144414,0.002414315,0.02713223,0.002171895,0.02252604,0.359782,0.02863538,0.5051365],"study_design_scores_gemma":[0.00002483427,0.0004265289,0.07502583,0.0006589534,0.00006758998,0.002381738,0.01312109,0.001249654,0.01232979,0.04470488,0.8499242,0.00008498041],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5466052,0.04525834,0.0544361,0.01132461,0.003674032,0.0003302404,0.002246276,0.0009525084,0.3351727],"genre_scores_gemma":[0.8301831,0.01173633,0.01672932,0.0006823024,0.0004870188,0.0001361569,0.0009790238,0.0004641908,0.1386026],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01548527,"threshold_uncertainty_score":0.05180347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.107772108999082,"score_gpt":0.4958193469512828,"score_spread":0.3880472379522008,"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."}}