{"id":"W7162725136","doi":"","title":"創価人間学論集（第9号）全文","year":2016,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Linguistic and Sociocultural Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Population; Independence (probability theory); Official language; Principal (computer security); Arabic; Quarter (Canadian coin)","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":[0.001055775,0.0006156693,0.000182381,0.0009131699,0.005723448,0.005692799,0.0005566298,0.004978243,0.006993211],"category_scores_gemma":[0.001549749,0.0002360433,0.0002805952,0.00105859,0.002420474,0.001555623,0.001585567,0.003088623,0.003408111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006472925,"about_ca_system_score_gemma":0.005429824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08337478,"about_ca_topic_score_gemma":0.1456008,"domain_scores_codex":[0.9991214,0.0001908993,0.00007419607,0.000102275,0.0002256277,0.0002856614],"domain_scores_gemma":[0.9993209,0.0001415899,0.0001118424,0.00003860065,0.00029757,0.0000894614],"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":[0.0001664344,0.0001116321,0.01224238,0.0006252766,0.00002868588,0.002101529,0.03623419,0.0002655302,0.002746245,0.3518962,0.4513212,0.1422607],"study_design_scores_gemma":[0.000005383648,0.00001775721,0.007382105,0.0001601243,0.000008721423,0.0003810595,0.004587851,0.00006363645,0.001275823,0.001934574,0.9841592,0.00002384947],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08899753,0.04127304,0.00675603,0.09058139,0.01025651,0.0002034647,0.001522326,0.0004899758,0.7599198],"genre_scores_gemma":[0.3411922,0.009036447,0.00379442,0.05027665,0.0009864961,0.0001204381,0.0004618852,0.0001352037,0.5939963],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08337478,"threshold_uncertainty_score":0.1657789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03133296079508856,"score_gpt":0.3022168641241177,"score_spread":0.2708839033290291,"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."}}