{"id":"W6944349971","doi":"10.18720/spbpu/3/2019/vr/vr19-3404","title":"Ð§Ð¸ÑÐ»ÐµÐ½Ð½Ð¾Ðµ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð¿ÑÐ¾ÑÐµÑÑÐ¾Ð² Ð½ÐµÐ»Ð¸Ð½ÐµÐ¹Ð½Ð¾Ð³Ð¾ Ð´ÐµÑÐ¾ÑÐ¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð¶ÐµÐ»ÐµÐ·Ð¾Ð±ÐµÑÐ¾Ð½Ð½ÑÑ ÐºÐ¾Ð½ÑÑÑÑÐºÑÐ¸Ð¹ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð°Ð½Ð°Ð»Ð¸ÑÐ¸ÑÐµÑÐºÐ¸Ñ ÑÐµÑÐµÐ½Ð¸Ð¹","year":2019,"lang":"ja","type":"article","venue":"Electronic Library of Peter the Great Polytechnic University","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Product (mathematics); Process (computing); Beam (structure)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006889655,0.0005109218,0.0004344261,0.000821845,0.00113557,0.002462547,0.0008705868,0.0007765841,0.1426502],"category_scores_gemma":[0.001379475,0.0006053841,0.0002969118,0.0007336778,0.0008212994,0.00196221,0.001025812,0.001603361,0.06921559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001503732,"about_ca_system_score_gemma":0.002564214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007959627,"about_ca_topic_score_gemma":0.01228031,"domain_scores_codex":[0.9992858,0.00004464174,0.00003117135,0.0001154036,0.0004871548,0.00003587485],"domain_scores_gemma":[0.9993425,0.0001069315,0.0000537961,0.00009173926,0.0003139029,0.00009107692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002136839,0.0002312905,0.002763728,0.000556963,0.00005441494,0.0001409321,0.0008786332,0.004647213,0.1022516,0.1795301,0.3284352,0.3802962],"study_design_scores_gemma":[0.00003479458,0.0000422757,0.001659288,0.00008543607,0.00003019873,0.0001369597,0.0002069381,0.007718138,0.04273617,0.01637945,0.9309108,0.00005966538],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01672173,0.001798851,0.1885762,0.003718034,0.002062838,0.0002827381,0.005518352,0.009762483,0.7715586],"genre_scores_gemma":[0.1373418,0.003630375,0.2574497,0.001034621,0.0003714485,0.0004322989,0.006027381,0.005632977,0.5880794],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8573498,"threshold_uncertainty_score":0.4772124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003167632300031858,"score_gpt":0.1800785955651736,"score_spread":0.1769109632651417,"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."}}