{"id":"W6920610936","doi":"10.60764/medienjournal-xb3p-qk33","title":"Lessons from Canada","year":2024,"lang":"en","type":"article","venue":"MedienJournal","topic":"Radio, Podcasts, and Digital Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Process (computing); Context (archaeology); Broadcasting (networking)","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":[0.004872647,0.0006509046,0.0006543525,0.002006847,0.01748431,0.009615227,0.00230732,0.004387926,0.0245557],"category_scores_gemma":[0.01030344,0.0003138085,0.000628796,0.00400817,0.005796019,0.00406824,0.003796568,0.006565674,0.002125186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1204608,"about_ca_system_score_gemma":0.295556,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9908321,"about_ca_topic_score_gemma":0.9952545,"domain_scores_codex":[0.9923084,0.0009031206,0.0001900177,0.0005791754,0.003281748,0.002737537],"domain_scores_gemma":[0.9910266,0.00101769,0.0001245888,0.0001957158,0.005248002,0.002387408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008123096,0.00006550213,0.002933093,0.000389867,0.00002182302,0.0006978863,0.007182653,0.0004013406,0.0002400315,0.2009418,0.6884798,0.09856495],"study_design_scores_gemma":[0.0000218868,0.00002494167,0.005049049,0.0007243117,0.00002432104,0.0001447976,0.01381136,0.0001290117,0.0002277019,0.01434513,0.965436,0.00006142562],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01073538,0.0190418,0.0009184303,0.5705605,0.003859471,0.0001270921,0.001658558,0.0001281729,0.3929707],"genre_scores_gemma":[0.2980003,0.04065567,0.00491545,0.2448159,0.0009598013,0.0002014408,0.001430483,0.0003104471,0.4087105],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1204608,"threshold_uncertainty_score":0.8740083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03336080372229958,"score_gpt":0.3208320678907358,"score_spread":0.2874712641684362,"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."}}