{"id":"W2339139771","doi":"10.1364/boe.6.004273","title":"Biomedical Optics Express feature issue introduction: optical trapping applications (OTA)","year":2015,"lang":"en","type":"article","venue":"Biomedical Optics Express","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Optical tweezers; Optics; Feature (linguistics); Computer science; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001071514,0.0007652001,0.0005484926,0.0009731144,0.0008807426,0.001904436,0.001086515,0.002323396,0.04954122],"category_scores_gemma":[0.001054491,0.0004111873,0.0003649803,0.0006830905,0.0005446891,0.001354691,0.0009295439,0.001448295,0.01481229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008866937,"about_ca_system_score_gemma":0.00067306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006418873,"about_ca_topic_score_gemma":0.001450782,"domain_scores_codex":[0.9990879,0.00005403652,0.00004716661,0.000125706,0.0005715846,0.0001135898],"domain_scores_gemma":[0.999089,0.0001304771,0.0001140819,0.00005185429,0.0005046358,0.0001099858],"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":[0.0002530094,0.0001378107,0.0004773838,0.001024556,0.00002020884,0.0002858462,0.00007556667,0.000130993,0.09107886,0.004721607,0.7113356,0.1904586],"study_design_scores_gemma":[0.00002041691,0.0001828409,0.001405268,0.00007609749,0.00001158217,0.0004835005,0.00002976893,0.0005089538,0.03735817,0.0006324673,0.9592683,0.00002267052],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.03635627,0.1066194,0.08081838,0.07170011,0.2868223,0.001577995,0.006353308,0.005868115,0.403884],"genre_scores_gemma":[0.1149648,0.05103293,0.03158412,0.02687806,0.09349023,0.0005834076,0.006329901,0.0014584,0.6736783],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.04954122,"threshold_uncertainty_score":0.1657319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01746527008780404,"score_gpt":0.2400018594243863,"score_spread":0.2225365893365823,"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."}}