{"id":"W6063504","doi":"10.3109/10520295.2011.568971","title":"Notes and queries","year":2011,"lang":"en","type":"article","venue":"Biotechnic & Histochemistry","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Information retrieval","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":[0.0000731535,0.0001904626,0.0001274733,0.00002454408,0.00008092118,0.00000841264,0.0002176772,0.0003228343,0.00004133906],"category_scores_gemma":[0.0001013668,0.0001991558,0.00005107431,0.0000599162,0.0003966105,0.000004725342,0.0001791407,0.0001356066,0.000005381687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000277773,"about_ca_system_score_gemma":0.00004616041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002841734,"about_ca_topic_score_gemma":0.000004264431,"domain_scores_codex":[0.9991097,0.00000867918,0.0001635583,0.0004146396,0.00007444445,0.0002289291],"domain_scores_gemma":[0.9993185,0.000004626856,0.00007329721,0.0004797931,0.00004196866,0.00008177925],"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":[0.00003910544,0.00002585794,0.000430443,0.00002293425,0.000007676682,0.000003354715,0.00002983734,3.013268e-8,0.995828,0.0001229575,0.001548492,0.001941294],"study_design_scores_gemma":[0.0001037419,0.00008579002,0.000276513,0.00002024954,0.000008404467,0.00004599167,0.00002185701,0.00000101135,0.9760332,0.0002679996,0.0228953,0.0002399336],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7850748,0.01216798,0.1790065,0.0002595605,0.0002103063,0.0007262403,0.00007362373,0.0007748092,0.02170612],"genre_scores_gemma":[0.8951383,0.0004914588,0.1032959,0.0001440363,0.00008205359,0.00005276416,0.00003775504,0.00003750367,0.0007203185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1100634,"threshold_uncertainty_score":0.8121339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01723018689983161,"score_gpt":0.2412576662711233,"score_spread":0.2240274793712917,"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."}}