{"id":"W2751244530","doi":"","title":"G8 Online interview with Marc Fried","year":2005,"lang":"en","type":"other","venue":"TSpace (University of Toronto)","topic":"Media Studies and Communication","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interview; Computer science; World Wide Web; Artificial intelligence; Internet privacy; Sociology; Anthropology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001330213,0.000102999,0.000246147,0.00002444129,0.0001765744,0.000005444488,0.0005329594,0.0001336773,0.118031],"category_scores_gemma":[0.000009229714,0.0001104944,0.00006227508,0.00004716493,0.0002924196,0.000079168,0.0001459296,0.0000900351,0.00003751816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001949321,"about_ca_system_score_gemma":0.00009178335,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5371105,"about_ca_topic_score_gemma":0.9608092,"domain_scores_codex":[0.9993079,0.0001317866,0.00004265057,0.00014199,0.0002264993,0.000149152],"domain_scores_gemma":[0.9993325,0.00002663968,0.0001916521,0.0003303475,0.00004767808,0.0000711918],"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":[0.00003914259,0.0001597099,0.00008795727,0.0000941224,0.0002590647,0.000005396877,0.05224533,2.603309e-7,0.000001650181,0.005305095,0.3919609,0.5498413],"study_design_scores_gemma":[0.0002476452,0.00004022678,0.002675659,0.0001935197,0.00005867786,9.415507e-8,0.05975033,0.00000311312,6.74616e-8,0.000002272882,0.9369117,0.000116713],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00006456387,0.006228976,0.00008864183,0.007617395,0.00007787112,0.00018272,0.00002031823,0.00007637571,0.9856431],"genre_scores_gemma":[0.004543917,0.03535992,0.003569964,0.00006437527,0.000178676,2.412036e-7,0.00002423359,0.00004087454,0.9562178],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5497246,"threshold_uncertainty_score":0.8827752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03084989391322081,"score_gpt":0.2855263093827839,"score_spread":0.2546764154695631,"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."}}