{"id":"W4213391066","doi":"10.1063/1.4904449.4","title":"10.1063/1.4904449.4","year":2014,"lang":"en","type":"dataset","venue":"Default Digital Object Group","topic":"Digital Holography and Microscopy","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Digital holographic microscopy; Holography; Resolution (logic); Microscope; Microscopy; Flagellum; Optics; Paramecium; Biology; Bacteria; Materials science; Biological system; Physics; Computer science; Artificial intelligence; Cell biology; Paleontology","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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000113025,0.0008268405,0.0008076798,0.0002747139,0.0001572576,0.001085999,0.0009080206,0.0003240791,0.005010987],"category_scores_gemma":[0.00002471811,0.0007725694,0.0007697154,0.0003931432,0.0002457375,0.0007070277,0.0003454575,0.0005858507,0.01788996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003111783,"about_ca_system_score_gemma":0.0000701908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001619126,"about_ca_topic_score_gemma":0.00001138575,"domain_scores_codex":[0.9972494,0.00003672027,0.0005910555,0.0009025065,0.000384353,0.0008360159],"domain_scores_gemma":[0.9980089,0.0001536661,0.000355987,0.001115949,0.00008605544,0.0002794074],"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":[0.00004561995,0.0003720918,0.00007198413,0.00006400717,0.0002002155,0.00001510616,0.000005639017,9.005211e-7,0.000005110066,0.0003146867,0.9813233,0.01758135],"study_design_scores_gemma":[0.0005326665,0.0003217837,0.00003905826,0.0001025003,0.0000905568,0.000007226432,0.00002472038,0.000001233867,0.00005347551,0.00165808,0.9962898,0.0008788911],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002245225,0.00009194494,0.0001606598,0.000008000053,0.0005019464,0.0003128451,0.8749117,0.0001102637,0.1236781],"genre_scores_gemma":[0.01275273,0.000004080498,0.00002306013,0.000123132,0.001017409,0.00008569677,0.9765942,0.00007526049,0.009324425],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1143537,"threshold_uncertainty_score":0.9999509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004783540209891447,"score_gpt":0.2289308691686484,"score_spread":0.2241473289587569,"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."}}