{"id":"W2563858089","doi":"","title":"Marconi: The Man Who Networked the World","year":2016,"lang":"en","type":"article","venue":"Journalism & Mass Communication Quarterly","topic":"History of Computing Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Newspaper; Biography; Sociology; Telecommunications; Reputation; Promotion (chess); Media studies; Law; Computer science; Political science; Politics; Social science","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.001759419,0.0001890426,0.000192208,0.0001571401,0.001165968,0.0004776799,0.008749526,0.00006933345,0.00004105481],"category_scores_gemma":[0.00005540073,0.00008869631,0.0001379818,0.000570948,0.000431035,0.0005924518,0.0003694075,0.0005606624,0.0001524531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000147436,"about_ca_system_score_gemma":0.00005839173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002030991,"about_ca_topic_score_gemma":0.0001380162,"domain_scores_codex":[0.9976189,0.0008672673,0.000483903,0.000237097,0.0004230623,0.0003698056],"domain_scores_gemma":[0.9938599,0.001158534,0.0004865705,0.004278044,0.000152451,0.00006443795],"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":[0.000007795423,0.00003422375,0.0003052049,0.000002796671,0.00005353202,0.000004795649,0.003291,0.00003211746,0.0005996,0.3938479,0.1513406,0.4504805],"study_design_scores_gemma":[0.0004486226,0.0001145603,0.006058736,0.0001769703,0.00001518182,0.00006091801,0.0002444075,0.007271686,0.0001174498,0.1521937,0.8330101,0.0002876259],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01265975,0.002032589,0.3891771,0.5868683,0.0006601897,0.0003407954,0.000001050901,0.000862003,0.007398233],"genre_scores_gemma":[0.9678466,0.0001552887,0.02425069,0.002060409,0.0001357054,0.00003908877,4.783332e-7,0.00001984755,0.005491878],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9551868,"threshold_uncertainty_score":0.9966136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0155526047445441,"score_gpt":0.2446373070285337,"score_spread":0.2290847022839896,"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."}}