{"id":"W37155289","doi":"10.1037/ort0000674","title":"C-3-80 光学密着を利用した埋め込み形平面導波路(C-3. 光エレクトロニクス, エレクトロニクス1)","year":2005,"lang":"en","type":"article","venue":"電子情報通信学会総合大会講演論文集","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006078077,0.0004223209,0.000220058,0.0003939759,0.001406044,0.001565099,0.0007131902,0.001840088,0.7285231],"category_scores_gemma":[0.001596638,0.000211638,0.0003682949,0.0003592969,0.0006571656,0.000681027,0.001812383,0.00127302,0.3499756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001360502,"about_ca_system_score_gemma":0.002359873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01772256,"about_ca_topic_score_gemma":0.02577354,"domain_scores_codex":[0.9996576,0.00007047811,0.00001719434,0.00007445306,0.00008285452,0.00009744918],"domain_scores_gemma":[0.9985915,0.0001806343,0.00008477044,0.0001013843,0.0004044993,0.0006372576],"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":[0.0004365082,0.0003462922,0.003967671,0.0005291683,0.0000179118,0.0007016723,0.0007536091,0.0004317713,0.00848622,0.005897547,0.47036,0.5080717],"study_design_scores_gemma":[0.00004744095,0.0001374316,0.007400006,0.0002723792,0.000006089409,0.0003431685,0.0005289615,0.0003616589,0.0007531905,0.0005048777,0.989629,0.00001588021],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0111622,0.0009584479,0.002298669,0.004359375,0.001316094,0.0003957244,0.0008712445,0.001595316,0.9770429],"genre_scores_gemma":[0.03871535,0.0007571127,0.002409625,0.001681728,0.0002271243,0.0003954652,0.0005438448,0.0004153326,0.9548544],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7285231,"threshold_uncertainty_score":0.3872288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06939022310052184,"score_gpt":0.4654508941427887,"score_spread":0.3960606710422669,"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."}}