{"id":"W3201911141","doi":"10.1364/ao.438297","title":"Modification of surface morphology of hydrogels due to subsurface femtosecond laser micromachining","year":2021,"lang":"en","type":"article","venue":"Applied Optics","topic":"Laser Material Processing Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Materials science; Profilometer; Femtosecond; Surface micromachining; Refractive index; Optics; Laser; Interferometry; Morphology (biology); Optoelectronics; Composite material; Surface finish; Fabrication","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001361206,0.0001234697,0.0002754968,0.0000379673,0.00001818619,0.00001435073,0.000163996,0.0001104361,0.00003192931],"category_scores_gemma":[0.0000184116,0.0001429466,0.00002568058,0.0001975978,0.0000302473,0.00004080192,0.00006745882,0.00008866909,0.00001526058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002416664,"about_ca_system_score_gemma":0.00002544514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007394261,"about_ca_topic_score_gemma":0.000003076064,"domain_scores_codex":[0.999245,0.00001279966,0.0003185037,0.0001653837,0.00009601584,0.0001623024],"domain_scores_gemma":[0.9994338,0.00004862106,0.00006777563,0.0003285148,0.00007627187,0.00004499272],"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":[0.000008487113,0.000026393,0.00003455963,0.0001593367,0.00002106999,0.00000489784,0.0002631236,0.06943747,0.9278334,0.001778488,0.0001359964,0.0002967534],"study_design_scores_gemma":[0.0001364511,0.00001488566,0.0001154311,0.00002291122,0.00001633544,0.000008361004,0.00005283873,0.004380595,0.9938665,0.001146853,0.0001088633,0.0001299943],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9711868,0.00006585498,0.02518168,0.00002788513,0.00009169347,0.0001296999,0.0000336812,0.000184234,0.003098457],"genre_scores_gemma":[0.8759905,0.00001210256,0.1238638,0.00002511091,0.00001347827,0.000006949937,0.00002542843,0.00003613195,0.00002650196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09868213,"threshold_uncertainty_score":0.5829193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01358122855296092,"score_gpt":0.2331120159667066,"score_spread":0.2195307874137457,"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."}}