{"id":"W2893960443","doi":"10.1038/s41598-018-32407-0","title":"Two-photon polymerisation 3D printed freeform micro-optics for optical coherence tomography fibre probes","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fiona Wood Foundation; Chevron Australia; RMIT University; Australian Research Council; U.S. Department of State; ARC Centre for Nanoscale BioPhotonics; Government of South Australia; Ontario Ministry of Natural Resources and Forestry; University of Adelaide; Australian Government; Australian National Fabrication Facility","keywords":"Optical coherence tomography; Fabrication; Optics; Materials science; Laser; Optical fiber; Coherence (philosophical gambling strategy); 3D printing; Optoelectronics; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005274323,0.0002380677,0.0002158958,0.0002815146,0.0003449286,0.0003405717,0.000252813,0.0001220462,0.0001227894],"category_scores_gemma":[0.00009204476,0.0002288247,0.0001591962,0.001189397,0.0007581916,0.0002646929,0.00005700306,0.0001505681,0.0000456776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004962049,"about_ca_system_score_gemma":0.00007153983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000119605,"about_ca_topic_score_gemma":0.00003963737,"domain_scores_codex":[0.9978034,0.000008873538,0.0006019718,0.0006789056,0.0003743219,0.0005324649],"domain_scores_gemma":[0.9982151,0.00006061173,0.0001250087,0.0009912431,0.0003989247,0.0002090645],"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":[0.00002184907,0.0001836765,0.004101058,0.0001845805,0.00009936069,0.00001547239,0.000550464,0.0002851578,0.9731161,0.003650372,0.004451941,0.01333999],"study_design_scores_gemma":[0.0002650133,0.0001657959,0.002150735,0.00008649981,0.00007310157,0.00008723704,0.0001476852,0.01816825,0.9510853,0.01638943,0.0108218,0.0005591933],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9459863,0.0001144032,0.03472332,0.00007933249,0.003360277,0.001847591,0.00002528984,0.0008077632,0.01305567],"genre_scores_gemma":[0.9311616,0.000001771895,0.06778537,0.00001428077,0.0001668282,0.0004328372,0.00009661479,0.00004022878,0.0003004232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03306205,"threshold_uncertainty_score":0.9331202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01259239673591569,"score_gpt":0.2481678491913577,"score_spread":0.235575452455442,"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."}}