{"id":"W38361330","doi":"10.1111/nph.19571","title":"白色LED光源「LUGA」の開発 (特集 照明)","year":2008,"lang":"en","type":"article","venue":"Medical Entomology and Zoology","topic":"Plant and Biological Electrophysiology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Academy of Finland","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0002032536,0.0001166803,0.0001317439,0.000223112,0.000363257,0.0006633198,0.0001966705,0.0002872233,0.005080972],"category_scores_gemma":[0.0002381345,0.0001374696,0.0002096263,0.000206132,0.0003516003,0.0004442339,0.0004500836,0.0002160959,0.001259881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004066237,"about_ca_system_score_gemma":0.000271978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002047605,"about_ca_topic_score_gemma":0.002431435,"domain_scores_codex":[0.9999478,0.00000951276,0.000002332234,0.00001813947,0.00001163905,0.00001044226],"domain_scores_gemma":[0.9999161,0.00001885683,0.00001606504,0.00002219785,0.00001658869,0.00001023391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006488578,0.0001608548,0.06519651,0.0003116285,0.00007884535,0.001346075,0.001577933,0.05348004,0.3206201,0.05175959,0.007179845,0.4976397],"study_design_scores_gemma":[0.0001166799,0.0009423654,0.1285595,0.0001119582,0.0001395847,0.002818668,0.001841138,0.3530934,0.2715112,0.03377139,0.2068492,0.0002450264],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8411048,0.0007626055,0.1175284,0.0005898862,0.00007739689,0.00004560225,0.0005192496,0.001832359,0.0375397],"genre_scores_gemma":[0.9529396,0.0001884385,0.03895976,0.0000566966,0.000007694309,0.00002453881,0.0002360244,0.00003872332,0.007548397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005080972,"threshold_uncertainty_score":0.01699752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01695564461914703,"score_gpt":0.2033328335051874,"score_spread":0.1863771888860404,"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."}}