{"id":"W4249076385","doi":"10.1063/1.4904449.1","title":"10.1063/1.4904449.1","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; Optics; Flagellum; Biology; Materials science; Bacteria; Physics; Computer science; Artificial intelligence","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":[0.0001131024,0.0008264697,0.0008087129,0.0002745817,0.0001571907,0.001087443,0.0009078637,0.0003237751,0.005043313],"category_scores_gemma":[0.00002509578,0.0007723366,0.0007704659,0.0003930487,0.0002444524,0.0007060689,0.0003450307,0.0005933425,0.01763216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003146495,"about_ca_system_score_gemma":0.0000699517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001631283,"about_ca_topic_score_gemma":0.00001130534,"domain_scores_codex":[0.9972504,0.00003675669,0.0005910054,0.0009023012,0.0003840246,0.0008355005],"domain_scores_gemma":[0.9980075,0.0001554611,0.0003557823,0.001115841,0.00008598744,0.0002793902],"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":[0.00004612242,0.0003717585,0.00007147061,0.0000635505,0.0002026125,0.00001477202,0.000005628449,8.891244e-7,0.000005174184,0.0003078478,0.9809206,0.01798961],"study_design_scores_gemma":[0.0005301225,0.0003230217,0.00003938176,0.0001025992,0.00009051746,0.000007231918,0.00002492444,0.000001231712,0.00005335198,0.001694418,0.9962548,0.000878419],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002261184,0.00009133209,0.0001671711,0.000008156729,0.0005012778,0.0003137773,0.8794333,0.0001107222,0.1191481],"genre_scores_gemma":[0.01211501,0.000004060256,0.00002402701,0.0001245159,0.001012697,0.00008577279,0.9773527,0.00007521795,0.009206038],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1099421,"threshold_uncertainty_score":0.9999495,"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."}}