{"id":"W2012353869","doi":"10.1117/12.646713","title":"Digital in-line holographic microscopy applied to microfluidic studies","year":2006,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Digital Holography and Microscopy","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Streamlines, streaklines, and pathlines; Holography; Digital holographic microscopy; Microfluidics; Optics; Digital holography; Microscopy; Holographic interferometry; Flow (mathematics); Materials science; Physics; Mechanics; Nanotechnology","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":[],"consensus_categories":[],"category_scores_codex":[0.0004804016,0.0003314954,0.0003786399,0.0008991555,0.0002963948,0.0006491396,0.0005317123,0.0004030268,0.003312264],"category_scores_gemma":[0.001020427,0.0004075506,0.0002167415,0.0006814286,0.0007350508,0.0005402134,0.0009379194,0.0005824118,0.0006495766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006155115,"about_ca_system_score_gemma":0.0004803547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006895146,"about_ca_topic_score_gemma":0.0005796095,"domain_scores_codex":[0.999723,0.00006592828,0.00001864401,0.00003656637,0.0001256792,0.00003014702],"domain_scores_gemma":[0.9995198,0.0002202231,0.00004537657,0.0001058566,0.00007160118,0.00003714026],"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":[0.00009611992,0.00006054869,0.001020076,0.0011206,0.00002853503,0.0003106484,0.0002371973,0.008143927,0.7897236,0.03540352,0.002805282,0.16105],"study_design_scores_gemma":[0.00008756496,0.0002774257,0.003751797,0.0001845303,0.00006039087,0.001577734,0.000166225,0.1098173,0.7556301,0.01848835,0.1098672,0.00009145208],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03344629,0.01082126,0.9401174,0.0005313099,0.0006564669,0.0002386313,0.0002817823,0.001511152,0.01239583],"genre_scores_gemma":[0.3955584,0.01589785,0.5793469,0.0003042385,0.0002700344,0.000405732,0.000246802,0.000181661,0.007788417],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003312264,"threshold_uncertainty_score":0.01108062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009118364514310525,"score_gpt":0.2415846621636826,"score_spread":0.232466297649372,"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."}}