{"id":"W4239204816","doi":"10.1063/1.4904449.5","title":"10.1063/1.4904449.5","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; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007324214,0.002665939,0.00192565,0.003703422,0.0007739452,0.003234204,0.003298513,0.002599851,0.3156806],"category_scores_gemma":[0.002367385,0.0006751009,0.00122091,0.007323277,0.0006031656,0.001498921,0.00250188,0.001544414,0.5686468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001050984,"about_ca_system_score_gemma":0.001379716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009842433,"about_ca_topic_score_gemma":0.01220395,"domain_scores_codex":[0.9991565,0.0001099793,0.00007458127,0.0002584526,0.0002339299,0.0001665765],"domain_scores_gemma":[0.999352,0.000105791,0.00005145346,0.0002572253,0.0001333259,0.0001001797],"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":[0.00006816781,0.00004042932,0.001485351,0.001058221,0.00006077431,0.00004901199,0.0000262028,0.0007007309,0.000309783,0.0007869511,0.9786386,0.01677573],"study_design_scores_gemma":[0.00009864819,0.00001737797,0.002040262,0.0001922908,0.00001438704,0.00005439507,0.00003763222,0.0005362923,0.0003480823,0.001420038,0.995221,0.00001963945],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001470161,0.0001559294,0.000207905,0.00006406982,0.0000354781,0.0000192947,0.9953727,0.001798939,0.002198687],"genre_scores_gemma":[0.0005286887,0.0001473436,0.0004219713,0.00004889662,0.00001032201,0.0000554408,0.9969453,0.0001659109,0.001675968],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6843194,"threshold_uncertainty_score":0.9760986,"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."}}