{"id":"W7144282138","doi":"10.69341/2003520","title":"〈書評〉ロナルド・ダイバート著『ブラックコード ― サイバー空間をめぐる闘いの内側』(Toronto: McClelland & Stewart, 2013)","year":2014,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Asian Culture and Media Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Government (linguistics); Subject (documents); Set (abstract data type)","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":[0.002688667,0.0006440854,0.0004855766,0.005670545,0.004244325,0.01391051,0.001095147,0.001464515,0.05546987],"category_scores_gemma":[0.007363926,0.0006118226,0.0004344074,0.02178996,0.003737549,0.01179696,0.003210344,0.001355073,0.0267356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009342001,"about_ca_system_score_gemma":0.02221898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.341646,"about_ca_topic_score_gemma":0.5041843,"domain_scores_codex":[0.9983599,0.0003378596,0.0002165139,0.0001887394,0.0007172843,0.0001796909],"domain_scores_gemma":[0.9964026,0.0007249456,0.0003409195,0.0005004985,0.001649274,0.0003818148],"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":[0.00001734093,0.00001071229,0.002084718,0.0003420051,0.000008567129,0.0000716174,0.003609945,0.000108094,0.000232596,0.05340401,0.8288898,0.1112206],"study_design_scores_gemma":[0.000001911305,0.00000351746,0.003906366,0.0002255716,0.000009372821,0.00008535821,0.0025674,0.00006034429,0.0002169557,0.005584052,0.9873232,0.0000160376],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.007090762,0.03701346,0.02912865,0.05336378,0.002402822,0.0002371813,0.0647956,0.005162557,0.8008052],"genre_scores_gemma":[0.1394752,0.06675055,0.07006195,0.005095821,0.001313799,0.0004615478,0.06401656,0.003487772,0.6493368],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.341646,"threshold_uncertainty_score":0.6793147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0155817404048448,"score_gpt":0.2826892854939753,"score_spread":0.2671075450891305,"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."}}