{"id":"W7054794941","doi":"","title":"Analysis of molten metals by laser-induced breakdown spectroscopy (LIBS)","year":2005,"lang":"en","type":"other","venue":"NPARC","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Laser-induced breakdown spectroscopy; Spectroscopy; Metal; Analytical Chemistry (journal); Zinc alloys","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003491462,0.0002777557,0.0004121603,0.001512259,0.0008160962,0.0009744481,0.0005156216,0.000630305,0.01590279],"category_scores_gemma":[0.001576324,0.0002012161,0.0002093555,0.0007440825,0.0002540617,0.0005862346,0.0004023188,0.0004536711,0.005717402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003530257,"about_ca_system_score_gemma":0.0004272721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000661121,"about_ca_topic_score_gemma":0.001709707,"domain_scores_codex":[0.9994197,0.00003264685,0.00002340147,0.00006567041,0.0004075693,0.00005112505],"domain_scores_gemma":[0.9990885,0.00009637845,0.00008092546,0.00008495738,0.0006062364,0.00004300284],"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":[0.0005805591,0.00005968471,0.005703242,0.0008799747,0.00004915396,0.0006573373,0.0003611294,0.0003445388,0.8983524,0.001386314,0.007643684,0.08398196],"study_design_scores_gemma":[0.0000231921,0.0002747052,0.01049224,0.00005882457,0.00002933887,0.0005585614,0.0003470154,0.001818068,0.9457458,0.0005505409,0.04008162,0.00002003609],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9097186,0.003456035,0.009190516,0.0009534467,0.0006304841,0.0002005728,0.002757459,0.0009538018,0.0721391],"genre_scores_gemma":[0.8749806,0.001723683,0.01189513,0.0002045893,0.0001110034,0.00008469382,0.002406083,0.0005031172,0.1080912],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01590279,"threshold_uncertainty_score":0.05320013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008516355571390792,"score_gpt":0.2306314266253509,"score_spread":0.2221150710539601,"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."}}