{"id":"W14678565","doi":"10.1186/1471-2105-4-63","title":"7-4 発展的な展開をめざす「数量関係」領域の授業づくりIV : 「きまり」を創発する場の構成(7数量関係,幼稚園・小学校,第89回全国算数・数学教育研究(高知)大会第40回中国・四国算数・数学教育研究(高知)大会日本数学教育学会第89回総会)","year":2007,"lang":"ja","type":"article","venue":"日本数学教育学会誌. 臨時増刊, 総会特集号","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001570767,0.0006384864,0.0004811534,0.001543368,0.001723938,0.006515952,0.001296161,0.002001339,0.1676621],"category_scores_gemma":[0.002431891,0.0005303341,0.0008149368,0.001315723,0.002174392,0.003083573,0.002107135,0.001645989,0.08285393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002582879,"about_ca_system_score_gemma":0.003131888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00926,"about_ca_topic_score_gemma":0.01730639,"domain_scores_codex":[0.9987914,0.000272007,0.00006007141,0.0001511518,0.0005821857,0.0001431397],"domain_scores_gemma":[0.9983212,0.0003737691,0.00007653707,0.0001811006,0.000723371,0.0003240627],"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":[0.0003173444,0.0002054384,0.003120051,0.0005697368,0.00003422521,0.0005325543,0.001037607,0.001262586,0.01122164,0.226161,0.4897462,0.2657917],"study_design_scores_gemma":[0.00002648445,0.00006583684,0.002393904,0.0001945993,0.0000184807,0.0005804186,0.0006461185,0.001905673,0.005530233,0.05285506,0.9357393,0.00004388951],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01086214,0.005655804,0.08869424,0.0128338,0.003538652,0.0003443884,0.003087921,0.004580618,0.8704025],"genre_scores_gemma":[0.07067345,0.005517242,0.08477547,0.003050488,0.001323398,0.0002278539,0.005612245,0.001742339,0.8270775],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1676621,"threshold_uncertainty_score":0.5608857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01644704061190702,"score_gpt":0.2974406176191847,"score_spread":0.2809935770072777,"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."}}