{"id":"W2002340548","doi":"10.1038/nmeth.2531","title":"Multidimensional data","year":2013,"lang":"en","type":"article","venue":"Nature Methods","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"National Cancer Institute","keywords":"Computational biology; Computer science; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005814446,0.0001019851,0.0001080857,0.00003602299,0.00003526593,0.00001818905,0.000412414,0.0003110947,0.0002248091],"category_scores_gemma":[0.0005597196,0.00008446932,0.00005471808,0.00008909473,0.00003954675,0.000006053798,0.0005050063,0.0002482915,0.00003631147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004465778,"about_ca_system_score_gemma":0.00002254989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002665724,"about_ca_topic_score_gemma":0.00000480968,"domain_scores_codex":[0.9990677,0.0001822028,0.0001175892,0.0003962376,0.0000981756,0.0001380869],"domain_scores_gemma":[0.9985447,0.00003427678,0.00004275198,0.001210606,0.0001156314,0.00005205043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002917724,0.00001836458,0.0001628712,0.000002058972,0.00003147001,7.123743e-7,0.000001793918,4.658049e-7,0.8236248,0.00003125782,0.1285741,0.04754917],"study_design_scores_gemma":[0.00006851727,0.00001757562,0.0008483683,0.000001781098,0.0000157552,0.000005219993,0.000004504009,0.000505168,0.6133912,0.0001699156,0.3848788,0.00009322819],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1331725,0.01570003,0.8120295,0.001485963,0.0003619137,0.0008446908,0.00002430303,0.0002117976,0.03616932],"genre_scores_gemma":[0.06448357,0.00008511478,0.9308313,0.001363147,0.0002170032,0.00001440974,0.0004837681,0.00001746233,0.002504211],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2563047,"threshold_uncertainty_score":0.3444559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0183134444884777,"score_gpt":0.40536762865237,"score_spread":0.3870541841638923,"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."}}