{"id":"W7062139819","doi":"","title":"Studentský slang v québecké francouzštině - formální a sémantická analýza","year":2015,"lang":"en","type":"dissertation","venue":"","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Slang; Theme (computing); Terminology; Czech; Bachelor; French","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":[0.001446181,0.0008001038,0.0004813195,0.001966102,0.003987562,0.005897834,0.0005043542,0.0009646693,0.01527718],"category_scores_gemma":[0.002603269,0.0002452153,0.0005408595,0.001934414,0.006118975,0.002562457,0.00141266,0.002398495,0.002481085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01843936,"about_ca_system_score_gemma":0.007382471,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2652872,"about_ca_topic_score_gemma":0.2649769,"domain_scores_codex":[0.9982327,0.000657242,0.00005324119,0.0002467273,0.0004866405,0.0003235069],"domain_scores_gemma":[0.9990674,0.000252005,0.00006895,0.00008401684,0.0004511804,0.00007655162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004993279,0.00002885966,0.002475949,0.0001582311,0.00002120119,0.0002894184,0.01695639,0.0006970239,0.001351483,0.8876612,0.03495098,0.05535936],"study_design_scores_gemma":[0.00001004437,0.00002618508,0.008650565,0.0005863144,0.00001881309,0.0004367032,0.01378131,0.001688398,0.00183484,0.08613135,0.8867733,0.00006209614],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1150066,0.02005233,0.06365803,0.02309569,0.001902079,0.0001485471,0.00171546,0.0006284417,0.7737929],"genre_scores_gemma":[0.8285951,0.004817457,0.009677487,0.000978258,0.0002340667,0.00004979007,0.0007421958,0.0003636879,0.1545419],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7347128,"threshold_uncertainty_score":0.527486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01277670492876028,"score_gpt":0.3278807589161177,"score_spread":0.3151040539873574,"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."}}