{"id":"W7164919706","doi":"10.1080/17153379.2010.12558959","title":"Otaku: Japan’s Database Animals.","year":2010,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0006672738,0.001173743,0.0008635482,0.005004832,0.0009219702,0.002880812,0.001437202,0.000750033,0.06547169],"category_scores_gemma":[0.002175237,0.0006058912,0.0004239068,0.008365864,0.0003758612,0.003983921,0.002097655,0.001057302,0.03878672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006435905,"about_ca_system_score_gemma":0.003151114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01055362,"about_ca_topic_score_gemma":0.0116549,"domain_scores_codex":[0.9995969,0.00004019216,0.00008535037,0.0001113061,0.0001104068,0.00005589664],"domain_scores_gemma":[0.9990155,0.0001511456,0.0001200775,0.0002592761,0.0002488834,0.000205191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007739077,0.0001188429,0.006674267,0.002936256,0.0001290343,0.0005306825,0.0006903691,0.0003179284,0.01111306,0.01647329,0.7241417,0.2361008],"study_design_scores_gemma":[0.00005748345,0.00001963893,0.005493816,0.0001638795,0.00009335042,0.0002547,0.000309282,0.0009126465,0.003377839,0.004096223,0.9851876,0.00003358299],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01079448,0.003030906,0.03489177,0.00119741,0.0003683042,0.0003070856,0.8335537,0.03577347,0.08008298],"genre_scores_gemma":[0.02725224,0.002601499,0.03973975,0.0005561156,0.0001100712,0.0005147418,0.8993358,0.003762277,0.02612752],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06547169,"threshold_uncertainty_score":0.2190246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01130824596399839,"score_gpt":0.2507373538871658,"score_spread":0.2394291079231674,"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."}}