{"id":"W2915508743","doi":"","title":"熊本記念植物採集会沿革(6-1)","year":2006,"lang":"ja","type":"article","venue":"Botany","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Biology; Botany","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":[0.0004348212,0.0001731026,0.0001675973,0.0005836452,0.001322245,0.002063311,0.0004220804,0.001021417,0.05517708],"category_scores_gemma":[0.0005909447,0.00009093836,0.0002103908,0.0006930266,0.001566284,0.001427788,0.0009330782,0.000997743,0.0131182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00106749,"about_ca_system_score_gemma":0.0009730147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002420232,"about_ca_topic_score_gemma":0.007973499,"domain_scores_codex":[0.9997678,0.00003618923,0.00001012255,0.00003979703,0.0001138715,0.00003224338],"domain_scores_gemma":[0.9997472,0.00003844008,0.00003415855,0.00002385375,0.0001049792,0.0000512503],"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":[0.00005764628,0.00008232256,0.002875914,0.000293276,0.00001046612,0.0004742883,0.001274213,0.0003534287,0.009941866,0.7543014,0.06475582,0.1655793],"study_design_scores_gemma":[0.000004027705,0.00004731229,0.004061225,0.00008563726,0.000005930904,0.0003796972,0.0007040783,0.0001328139,0.003046493,0.06763205,0.9238843,0.00001634383],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02461272,0.006060303,0.007392189,0.01390877,0.003114991,0.00007800689,0.0004895274,0.00008337403,0.9442601],"genre_scores_gemma":[0.2433504,0.006598332,0.0146443,0.0037211,0.001351311,0.00006434065,0.0004101299,0.00006013594,0.7298],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05517708,"threshold_uncertainty_score":0.1845857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006780525607674791,"score_gpt":0.195420309395937,"score_spread":0.1886397837882622,"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."}}