{"id":"W4312893623","doi":"10.1051/epjconf/202226701025","title":"Sub-40 fs Kerr-lens mode-locked Tm,Ho:CALGO laser","year":2022,"lang":"es","type":"article","venue":"EPJ Web of Conferences","topic":"Solid State Laser Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Lens (geology); Laser; Optics; Mode (computer interface); Physics; Computer science","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":[0.0001190287,0.0001688861,0.0001842116,0.0001975465,0.0004785803,0.0003392143,0.0004320782,0.0004932008,0.00983637],"category_scores_gemma":[0.0001659899,0.0001045769,0.0000834673,0.0001586406,0.0003862166,0.0003760059,0.0003503001,0.0003254929,0.001384216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007335229,"about_ca_system_score_gemma":0.0005865238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001551092,"about_ca_topic_score_gemma":0.003476858,"domain_scores_codex":[0.9998724,0.000006427822,0.00000278555,0.00002948398,0.00005043199,0.0000384353],"domain_scores_gemma":[0.9998685,0.00003503728,0.00002185654,0.0000224171,0.0000246272,0.00002748629],"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":[0.0003873656,0.00004503812,0.0005301164,0.00004328023,0.000004298786,0.00004709266,0.00009125791,0.0001812742,0.9892823,0.001239153,0.0008503695,0.007298468],"study_design_scores_gemma":[0.00008607059,0.0004654792,0.008555515,0.00002017386,0.00001810358,0.0003046855,0.0001525868,0.008956512,0.9563962,0.0008982826,0.02411843,0.00002802311],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9560603,0.0004949039,0.01075752,0.0003263758,0.00008345381,0.00004781274,0.0003777723,0.001045883,0.03080599],"genre_scores_gemma":[0.9666271,0.0001500237,0.005269758,0.0001573646,0.00002399312,0.0000284539,0.000176876,0.00008553098,0.02748093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00983637,"threshold_uncertainty_score":0.03290594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02092363443058732,"score_gpt":0.2422176564562785,"score_spread":0.2212940220256912,"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."}}