{"id":"W3178197554","doi":"","title":"Technological developments of epitaxial lift-off process over InP substrates","year":2017,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semiconductor Lasers and Optical Devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Epitaxy; Lift (data mining); Process (computing); Materials science; Optoelectronics; Engineering physics; Computer science; Nanotechnology; Engineering; Operating system; Data mining","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":[0.000222914,0.000434692,0.000258175,0.0002555202,0.0003644198,0.000795805,0.0004519603,0.0004894666,0.002228925],"category_scores_gemma":[0.0002681263,0.000219823,0.0002335178,0.000238851,0.0001321851,0.0006623609,0.0003279099,0.0005064981,0.0008830299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003607635,"about_ca_system_score_gemma":0.0003215411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006721811,"about_ca_topic_score_gemma":0.00126693,"domain_scores_codex":[0.9998579,0.00001090649,0.00000575896,0.00002776968,0.00006271215,0.00003500637],"domain_scores_gemma":[0.9998444,0.00002681243,0.00002896191,0.00002282483,0.00005647402,0.00002039543],"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":[0.0001233697,0.00003627745,0.0007479967,0.0003826778,0.00001222901,0.0004670503,0.0001148146,0.0005160284,0.9800165,0.001428931,0.0008916617,0.01526234],"study_design_scores_gemma":[0.00002139297,0.0003947038,0.006842343,0.00004724876,0.00004202191,0.001007604,0.0001470126,0.004332554,0.9577923,0.0006784801,0.02867698,0.00001727211],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9206131,0.01144219,0.02072877,0.001308643,0.0007404868,0.00008977351,0.000615937,0.0004114039,0.04404969],"genre_scores_gemma":[0.9495273,0.008224371,0.01971909,0.0001283657,0.0002014156,0.000048758,0.0006729038,0.0001129139,0.02136496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002228925,"threshold_uncertainty_score":0.007456481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01712002327282303,"score_gpt":0.2398377270933146,"score_spread":0.2227177038204916,"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."}}