{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004058601,0.0004674535,0.000540018,0.0003166933,0.0001555721,0.0001435144,0.0008245316,0.001002616,0.00005947741],"category_scores_gemma":[0.0003129279,0.000418099,0.0001316863,0.0008157247,0.001195418,0.0001633246,0.000327829,0.0008915276,0.0002009955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001608348,"about_ca_system_score_gemma":0.000103599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000304091,"about_ca_topic_score_gemma":2.602632e-7,"domain_scores_codex":[0.9969886,0.00004054755,0.0006056647,0.0006368615,0.0009040865,0.0008242176],"domain_scores_gemma":[0.9978624,0.0001210418,0.00007388241,0.0009443042,0.0002016305,0.0007967227],"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":[0.00003392103,0.0004125927,0.000009054339,0.0002353577,0.0001482804,0.00008384221,0.0003038497,0.0001170501,0.2786369,0.005882543,0.6843696,0.029767],"study_design_scores_gemma":[0.0007674575,0.0001445242,0.000007761282,0.00007808719,0.00007715719,0.0001621573,0.0008607295,0.01016116,0.03310865,0.000619857,0.9534143,0.0005981575],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01276425,0.005219593,0.9389845,0.02774321,0.005027699,0.001118553,0.0001824961,0.005095412,0.003864261],"genre_scores_gemma":[0.3658646,0.003464764,0.6006012,0.0006316593,0.02421368,0.0005353684,0.001313447,0.0004409261,0.002934313],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3531004,"threshold_uncertainty_score":0.9998271,"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."}}