{"id":"W7047831245","doi":"","title":"Imaging, Keyboarding, and Posting Identities: Young People and New Media Technologies","year":2008,"lang":"en","type":"report","venue":"Issue Lab (Candid)","topic":"Superconducting and THz Device Technology","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social media; New media; Bricolage; Negotiation; Reflexivity; Emerging technologies; Creativity; Digital media","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":[0.003174754,0.0002357815,0.000238739,0.001507782,0.004870404,0.007765763,0.000617336,0.001679285,0.006153237],"category_scores_gemma":[0.007145779,0.0003031436,0.0001507198,0.002052283,0.006162464,0.006828739,0.003087896,0.00100647,0.000909176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001592913,"about_ca_system_score_gemma":0.002009839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006480887,"about_ca_topic_score_gemma":0.01035909,"domain_scores_codex":[0.9975445,0.001257271,0.0002037831,0.0001248766,0.0005403721,0.0003292055],"domain_scores_gemma":[0.9954581,0.003054702,0.0004356652,0.0001915482,0.0003550564,0.0005049361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00003597179,0.0001471967,0.02153661,0.00036221,0.000005964788,0.002367779,0.7299398,0.00006080313,0.0005331943,0.07213256,0.0154981,0.1573798],"study_design_scores_gemma":[0.00000507225,0.00008113308,0.01758734,0.0006141998,0.00001104717,0.003122126,0.6584686,0.00007857953,0.001009597,0.009430259,0.3095652,0.00002692474],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4930701,0.04266665,0.004812915,0.02398775,0.0009502038,0.0002751291,0.0001298739,0.0001067478,0.4340006],"genre_scores_gemma":[0.8881829,0.03156183,0.001850436,0.0011143,0.0003406971,0.0001947163,0.00004819884,0.00004564575,0.07666117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007765763,"threshold_uncertainty_score":0.02058458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0221904714141067,"score_gpt":0.2698677039393951,"score_spread":0.2476772325252884,"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."}}