{"id":"W7135578691","doi":"","title":"Net generation on social networks in the Czech Republic","year":2017,"lang":"cs","type":"dissertation","venue":"Digital Repository (National Repository of Grey Literature)","topic":"Education, Psychology, and Social Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Czech; Quarter (Canadian coin); Population; Generalization; First generation; Life-cycle hypothesis","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":[0.0008339941,0.0001293858,0.0001210479,0.0008407528,0.001713982,0.00270463,0.0002661724,0.0002376631,0.004234605],"category_scores_gemma":[0.001268071,0.0001042545,0.0001183831,0.0008040265,0.001194796,0.001396738,0.002864225,0.0004429127,0.0002416981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003247727,"about_ca_system_score_gemma":0.002485014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02166415,"about_ca_topic_score_gemma":0.03236061,"domain_scores_codex":[0.9992713,0.0002560125,0.00002665037,0.00007738312,0.0001341213,0.0002344523],"domain_scores_gemma":[0.9994901,0.0001152393,0.0001206358,0.00003012167,0.00006613689,0.0001778103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006942722,0.0004775222,0.3759075,0.0007705535,0.0001198316,0.00461695,0.1818683,0.002715511,0.006525782,0.2429045,0.01665644,0.1667429],"study_design_scores_gemma":[0.00006860516,0.0001745568,0.6461272,0.0005883781,0.00005403683,0.0007595242,0.1941601,0.00226774,0.0009368001,0.01195926,0.1428217,0.00008197809],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9685186,0.0006406524,0.0002126006,0.0005851275,0.00002642031,0.00003021953,0.00008896935,0.000005872106,0.02989152],"genre_scores_gemma":[0.9979329,0.0002688779,0.00005575683,0.00004139838,0.000002408992,0.00000591803,0.00002655679,0.000002120109,0.001664088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02166415,"threshold_uncertainty_score":0.0430761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05563350155970943,"score_gpt":0.3934239033151113,"score_spread":0.3377904017554019,"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."}}