{"id":"W2522225372","doi":"10.1016/j.bpj.2016.07.034","title":"Angling for A Better View","year":2016,"lang":"en","type":"letter","venue":"Biophysical Journal","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Fishing; Computer science; Fishery; Computational biology; Zoology; Evolutionary biology; 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":[0.00009986823,0.0003154959,0.00031063,0.00005183199,0.0001235634,0.00006649554,0.0004392924,0.0006720584,0.00001863403],"category_scores_gemma":[0.00005001813,0.0002280337,0.0004039856,0.00003604697,0.0001310615,0.000005663094,0.0001039599,0.0007513934,0.00002174702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004166083,"about_ca_system_score_gemma":0.00007748038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.964613e-7,"about_ca_topic_score_gemma":9.720395e-8,"domain_scores_codex":[0.9985628,0.00004844464,0.0002873107,0.0004099633,0.0001767323,0.0005147121],"domain_scores_gemma":[0.9991606,0.00002581482,0.0002294331,0.0003403793,0.0001690597,0.0000747235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001745176,0.000006281115,0.000002565914,0.00002430473,0.00003065904,0.00002269683,0.000001258654,4.486966e-8,0.5266705,0.00000212035,0.4669636,0.006258538],"study_design_scores_gemma":[0.0001667644,0.0001980192,0.000001578893,0.0001213515,0.00002316359,0.0000618511,4.908687e-7,0.000001543874,0.3587877,0.0003261751,0.640085,0.0002262659],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.001643457,0.0005876122,0.5656024,0.4299077,0.001026507,0.0006731306,0.0003203913,0.00006646611,0.0001722852],"genre_scores_gemma":[0.0005639559,0.0007152389,0.08360854,0.8244964,0.08768742,0.0001373256,0.0003786218,0.0002528011,0.002159712],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.4819939,"threshold_uncertainty_score":0.9298943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01212816608874145,"score_gpt":0.2911462910357803,"score_spread":0.2790181249470389,"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."}}