{"id":"W2916276487","doi":"10.18910/55432","title":"山中永之佑名誉教授に聞く : 大阪大学の思い出(2)","year":2012,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Stonefly species taxonomy and ecology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004699498,0.0006685726,0.0005989806,0.000245506,0.001070329,0.0002035216,0.0005724408,0.0004550032,0.001661555],"category_scores_gemma":[0.0004967981,0.0007404353,0.0002528027,0.0005598004,0.0006915451,0.002626506,0.0004756415,0.0008237076,0.002948795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001156675,"about_ca_system_score_gemma":0.0004019571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004348724,"about_ca_topic_score_gemma":0.00009851588,"domain_scores_codex":[0.996249,0.00009232781,0.0009175659,0.0006077543,0.0006724686,0.001460856],"domain_scores_gemma":[0.9974982,0.0003291444,0.000187488,0.001107791,0.0001892986,0.0006881144],"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":[0.0005240195,0.001814482,0.07296738,0.001427989,0.001955295,0.001069849,0.003048369,0.006815235,0.01506077,0.7069923,0.1833058,0.005018542],"study_design_scores_gemma":[0.0006933382,0.00006788531,0.01655072,0.0002073761,0.0001881406,0.0008006874,0.0003783633,0.0005242341,0.007303228,0.00004350345,0.9723412,0.0009012775],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4541731,0.03139241,0.01481736,0.0009597031,0.1233881,0.001389015,0.003683573,0.001393414,0.3688034],"genre_scores_gemma":[0.9789317,0.0005442792,0.004724342,0.0002476301,0.0124269,0.0001350101,0.0008725235,0.00006873572,0.002048925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7890355,"threshold_uncertainty_score":0.9995047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02193541679949293,"score_gpt":0.236667971639144,"score_spread":0.214732554839651,"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."}}