{"id":"W7146123247","doi":"","title":"KETpicのRisa/Asirへの移植について(2) (数式処理と教育)","year":2010,"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":"Alpha Technologies (Canada)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0004224165,0.0007217604,0.0005619076,0.0003006612,0.001174111,0.000243828,0.0009453383,0.0008783728,0.0006521622],"category_scores_gemma":[0.0006644158,0.0007659182,0.0002352826,0.0006029062,0.001589055,0.001672369,0.0003629639,0.002405699,0.0007010329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001942108,"about_ca_system_score_gemma":0.0006434757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007939234,"about_ca_topic_score_gemma":0.0009028366,"domain_scores_codex":[0.996511,0.00006179003,0.0009196599,0.0009005553,0.0007315574,0.0008754024],"domain_scores_gemma":[0.9972672,0.0002412226,0.0001387238,0.001724813,0.0002863885,0.0003415851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001308801,0.0002530286,0.003348817,0.000426013,0.0003800498,0.00124983,0.0003955461,0.0009231595,0.08567511,0.8955546,0.01061191,0.001051062],"study_design_scores_gemma":[0.001778799,0.000258507,0.01116167,0.0006722737,0.0003770449,0.002741089,0.0009415843,0.00392936,0.03399287,0.01255747,0.9291224,0.002466868],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6333022,0.007831144,0.006355111,0.001250485,0.04810185,0.0008468606,0.003607863,0.002423214,0.2962813],"genre_scores_gemma":[0.9862737,0.0005730104,0.006876744,0.00008587252,0.003273811,0.00007968191,0.001497897,0.00006382544,0.001275451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9185106,"threshold_uncertainty_score":0.9998958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0104102865744969,"score_gpt":0.2307538021651783,"score_spread":0.2203435155906814,"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."}}