{"id":"W7144775224","doi":"","title":"電子ブックの選定と利用促進 : 九州大学の事例","year":2017,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nutrasource","funders":"","keywords":"","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.009476484,0.0003701235,0.0004910551,0.004505808,0.003444038,0.01699741,0.001512382,0.001871855,0.01403456],"category_scores_gemma":[0.01908389,0.0007090752,0.0004525203,0.007343174,0.004362709,0.02228859,0.003251978,0.002197985,0.007894161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003630165,"about_ca_system_score_gemma":0.007485135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01414755,"about_ca_topic_score_gemma":0.01188335,"domain_scores_codex":[0.9932413,0.001819199,0.0009184363,0.001226163,0.002362442,0.0004325372],"domain_scores_gemma":[0.985917,0.003911797,0.001202242,0.003235166,0.004621208,0.001112647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002647017,0.0001603551,0.01885134,0.0003697949,0.00005683739,0.0002925324,0.006692338,0.0009068413,0.002557432,0.4836031,0.1105776,0.3756671],"study_design_scores_gemma":[0.00005573549,0.0001016799,0.01025633,0.0004148351,0.000154032,0.0007635657,0.006424021,0.004648262,0.009476502,0.1317523,0.8357759,0.0001769283],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09674703,0.009175435,0.3079325,0.05305697,0.003641819,0.0009883025,0.01492405,0.008241472,0.5052924],"genre_scores_gemma":[0.6306497,0.00562513,0.2424277,0.005328165,0.001776642,0.0005200193,0.01068331,0.001340211,0.1016492],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9830026,"threshold_uncertainty_score":0.05011702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0195882085698923,"score_gpt":0.2555156965648929,"score_spread":0.2359274879950006,"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."}}