{"id":"W4309813694","doi":"10.1149/ma2022-02321177mtgabs","title":"Gesn Bonding Technology for Integrated Laser-on-Chip Photonics","year":2022,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Lasing threshold; Materials science; Photonics; Optoelectronics; Wafer bonding; Laser; Wafer; Photonic integrated circuit; Tin; Germanium; Silicon photonics; Realization (probability); Nanotechnology; Engineering physics; Silicon; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000159668,0.0003697461,0.0001643148,0.0002449305,0.0003103657,0.0002640389,0.0003752817,0.0004021015,0.003207215],"category_scores_gemma":[0.0001660747,0.0002089048,0.0001622334,0.0002198825,0.0001582938,0.0004438,0.0003100741,0.0003665971,0.001198981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005126013,"about_ca_system_score_gemma":0.0003867182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005822426,"about_ca_topic_score_gemma":0.00203843,"domain_scores_codex":[0.9998772,0.00001297921,0.000005336378,0.00002573344,0.000068489,0.00001017216],"domain_scores_gemma":[0.9999588,0.00000739745,0.000008388495,0.00000557973,0.0000165717,0.000003349641],"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":[0.00004907276,0.00004637558,0.0004877464,0.0004879106,0.00002925192,0.0001967117,0.00007480197,0.002003284,0.9044251,0.0186058,0.004851069,0.06874289],"study_design_scores_gemma":[0.00001036401,0.0002061675,0.001464893,0.00005974413,0.00004091136,0.0005417149,0.00006087107,0.01135168,0.8539878,0.002569604,0.1296775,0.00002875343],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4532706,0.04108479,0.3392098,0.002136028,0.002856648,0.0003870916,0.00118871,0.002174994,0.1576913],"genre_scores_gemma":[0.715416,0.01490688,0.2198474,0.0004928213,0.0001741541,0.0002081773,0.0009557034,0.0002528646,0.04774603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003207215,"threshold_uncertainty_score":0.01072919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01235198932786758,"score_gpt":0.2304281660893144,"score_spread":0.2180761767614468,"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."}}