{"id":"W31777433","doi":"10.3897/zookeys.889.35805","title":"P1-39 小型超音波モータを用いる機械走査式IVUSシステムの開発(ポスター発表)","year":2006,"lang":"en","type":"article","venue":"超音波エレクトロニクスの基礎と応用に関するシンポジウム講演論文集","topic":"Botany, Ecology, and Taxonomy Studies","field":"Agricultural and Biological Sciences","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":[0.0001368225,0.0002870215,0.00008469289,0.0003583611,0.001075884,0.0006378368,0.0002550288,0.0002764332,0.08011765],"category_scores_gemma":[0.0001846785,0.00007853534,0.0001010113,0.0002759726,0.001103803,0.0002575539,0.0002884092,0.000379853,0.01687662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001315071,"about_ca_system_score_gemma":0.00128066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09761209,"about_ca_topic_score_gemma":0.1784467,"domain_scores_codex":[0.9999273,0.000006390174,0.000002677411,0.0000137258,0.0000315172,0.00001849113],"domain_scores_gemma":[0.9999064,0.00001310664,0.00001032862,0.000006188905,0.00003709058,0.00002687169],"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":[0.0003487998,0.0001534368,0.02540927,0.0004688985,0.00002485985,0.005445142,0.001610353,0.0005510481,0.08641935,0.01584172,0.06472111,0.799006],"study_design_scores_gemma":[0.00002629647,0.0005168357,0.1490313,0.0002191698,0.00001405104,0.007792762,0.001553595,0.0007250072,0.02427359,0.002626335,0.8131774,0.00004355734],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2090934,0.004718419,0.006899081,0.0009803768,0.0005803751,0.0002908066,0.001866492,0.0005888579,0.7749821],"genre_scores_gemma":[0.4913511,0.001732993,0.006971849,0.0003445342,0.0001106654,0.00008239843,0.001174247,0.0001000457,0.4981321],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09761209,"threshold_uncertainty_score":0.2680202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02558523711325487,"score_gpt":0.2012385212303963,"score_spread":0.1756532841171415,"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."}}