{"id":"W4416571493","doi":"10.1242/jcs.264511","title":"First person – Nina Grishchenko","year":2025,"lang":"en","type":"article","venue":"Journal of Cell Science","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intersection (aeronautics); First person; Selection (genetic algorithm); Session (web analytics); Metropolitan area","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":[0.008442197,0.00101068,0.0009298535,0.001347752,0.008004152,0.005357901,0.001490753,0.00262952,0.1032704],"category_scores_gemma":[0.03469963,0.0006833425,0.0003445346,0.0005815186,0.004031262,0.005042377,0.005581606,0.006824111,0.05875712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007549059,"about_ca_system_score_gemma":0.01024599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008368796,"about_ca_topic_score_gemma":0.01405948,"domain_scores_codex":[0.9907038,0.003423052,0.0003438685,0.0020034,0.002794752,0.0007311043],"domain_scores_gemma":[0.9672701,0.005024652,0.001570856,0.002453023,0.013313,0.01036844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000076718,0.00004351213,0.0005712077,0.0001257254,0.000006057689,0.0004265008,0.008140912,0.00004064004,0.001419605,0.009568539,0.9490175,0.03056304],"study_design_scores_gemma":[0.000008468824,0.00001292933,0.0003842066,0.0001890878,0.000002271047,0.0007450941,0.004804296,0.0000840746,0.0003203228,0.002792453,0.990626,0.00003090054],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01933018,0.01690692,0.02704223,0.6026371,0.05737874,0.0005661952,0.002111412,0.003582607,0.2704447],"genre_scores_gemma":[0.182989,0.006244049,0.01777415,0.173906,0.004853336,0.001784589,0.0008078073,0.002880598,0.6087604],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8967296,"threshold_uncertainty_score":0.3454738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00514517231779133,"score_gpt":0.2589477415735368,"score_spread":0.2538025692557455,"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."}}