{"id":"W380648309","doi":"","title":"2002年度博物館資料論(1) の概要 野外観察・野外採集 作ってみようミニ博物館--2002年度 博物館資料論1 実施報告 (博物館実習の報告)","year":2003,"lang":"ja","type":"article","venue":"Mouseion Journal of the Classical Association of Canada","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.0007435785,0.0002335463,0.0001089879,0.0006308549,0.002266343,0.002949678,0.0004639956,0.001413855,0.05681324],"category_scores_gemma":[0.001386591,0.0001970706,0.0001568043,0.000842609,0.001480433,0.0009250657,0.0005947753,0.001350744,0.01437628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01027774,"about_ca_system_score_gemma":0.01329433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4012318,"about_ca_topic_score_gemma":0.5882066,"domain_scores_codex":[0.9996624,0.00002481891,0.00001778087,0.00004732565,0.0001788438,0.00006884391],"domain_scores_gemma":[0.9989454,0.00008344143,0.000052739,0.00004783502,0.0007030345,0.000167469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003012386,0.0001533651,0.01011229,0.0003359325,0.00002919437,0.000421078,0.003769488,0.0006053464,0.004493838,0.1516166,0.575024,0.2531376],"study_design_scores_gemma":[0.000004817662,0.00001417973,0.005699229,0.00008505438,0.000008910881,0.00009266102,0.0007066497,0.00009223502,0.001063986,0.002140238,0.990083,0.000009082768],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03630337,0.009042306,0.002204982,0.04381521,0.005213638,0.0001208101,0.001774949,0.0001405549,0.9013842],"genre_scores_gemma":[0.0621368,0.003171664,0.001300998,0.002458942,0.0003244389,0.00001951722,0.0005077528,0.00003359911,0.9300463],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4012318,"threshold_uncertainty_score":0.7977927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00579626537899248,"score_gpt":0.1821580535561914,"score_spread":0.1763617881771989,"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."}}