{"id":"W2170566894","doi":"10.1364/ol.37.001682","title":"Femtosecond laser-assisted etching of three-dimensional inverted-woodpile structures in fused silica","year":2012,"lang":"en","type":"article","venue":"Optics Letters","topic":"Laser Material Processing Techniques","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Femtosecond; Microchannel; Optics; Laser; Hydrofluoric acid; Isotropic etching; Etching (microfabrication); Microfluidics; Optoelectronics; Nanotechnology; Layer (electronics)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001448321,0.0001678918,0.0002181407,0.0001293698,0.00002793379,0.00002848879,0.0001679754,0.00009990682,0.0000584739],"category_scores_gemma":[0.00002446083,0.0001657828,0.00003783648,0.0001464098,0.0000524538,0.0002314929,0.00005382336,0.0001889899,0.000006672762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006075733,"about_ca_system_score_gemma":0.00001058207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004439158,"about_ca_topic_score_gemma":0.00004156378,"domain_scores_codex":[0.9991008,0.00002192725,0.0002849319,0.0001206378,0.0001601274,0.0003115647],"domain_scores_gemma":[0.9995908,0.00004939572,0.00005449863,0.0002206832,0.00001780808,0.00006687509],"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":[0.00001769133,0.00004111108,0.003962239,0.0002108075,0.00003503837,0.000006148637,0.0002580679,0.00626847,0.985579,0.0001908868,0.002338514,0.001092018],"study_design_scores_gemma":[0.0008914219,0.00004069041,0.04262298,0.0002030518,0.00004086869,0.00001850445,0.00002343694,0.03221682,0.9216466,0.001229085,0.0004190072,0.000647537],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981673,0.00005872387,0.0005359895,0.000153337,0.0003389225,0.0001069402,0.00001486753,0.0002692946,0.0003545627],"genre_scores_gemma":[0.980233,0.000001846332,0.01924315,0.0003631153,0.00008342596,0.000009126704,0.00001952237,0.00004384998,0.000002999706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06393241,"threshold_uncertainty_score":0.6760427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01464733335252825,"score_gpt":0.2178082898026479,"score_spread":0.2031609564501197,"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."}}