{"id":"W2069097466","doi":"10.1007/s00339-004-3135-7","title":"Single and multiple shot near-infrared femtosecond laser pulse ablation thresholds of copper","year":2005,"lang":"en","type":"article","venue":"Applied Physics A","topic":"Laser Material Processing Techniques","field":"Engineering","cited_by":120,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Directorate for Biological Sciences","keywords":"Femtosecond; Laser; Materials science; Copper; Ablation; Optics; Laser ablation; Fluence; Analytical Chemistry (journal); Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000222456,0.0001795971,0.0003005453,0.0004842403,0.0004412641,0.0004844758,0.0005720003,0.0005274035,0.002956393],"category_scores_gemma":[0.0008028865,0.0002225167,0.0002019978,0.0002998598,0.0003519503,0.000582599,0.0003004069,0.000297333,0.0002854281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001238492,"about_ca_system_score_gemma":0.0003791504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002562391,"about_ca_topic_score_gemma":0.002690088,"domain_scores_codex":[0.9997383,0.00001499445,0.00001223874,0.00006223502,0.0001020921,0.00007011519],"domain_scores_gemma":[0.9993833,0.0002551664,0.00008414333,0.00005302644,0.0001757151,0.00004859428],"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":[0.001042557,0.0000458712,0.002098919,0.0001585249,0.00002052994,0.0002415679,0.0003725459,0.001779472,0.985457,0.0009936093,0.0005671367,0.007222164],"study_design_scores_gemma":[0.00002461883,0.000433956,0.02400553,0.0000212929,0.00003363041,0.0003665326,0.0003171661,0.0100141,0.9623922,0.0003808778,0.001977206,0.00003284989],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962029,0.0004763567,0.0007426428,0.00003524938,0.00001920292,0.000006213904,0.0000912004,0.00006618708,0.002360042],"genre_scores_gemma":[0.9980162,0.00009129611,0.0002188397,0.000008098394,0.000004826562,0.000004191886,0.00005034811,0.00001490411,0.001591161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002956393,"threshold_uncertainty_score":0.009890139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01529397063529509,"score_gpt":0.2137973577306524,"score_spread":0.1985033870953573,"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."}}