{"id":"W2182516756","doi":"","title":"Rapid quantitative analysis of magnesium stearate in tablets using laser-induced breakdown spectroscopy.","year":2005,"lang":"en","type":"article","venue":"PubMed","topic":"Laser-induced spectroscopy and plasma","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Magnesium stearate; Laser-induced breakdown spectroscopy; Materials science; Process analytical technology; Magnesium; Stearate; Laser; Analytical Chemistry (journal); Process engineering; Chromatography; Chemistry; Composite material; Chemical engineering; Dosage form; Optics; Metallurgy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004498949,0.0002672045,0.0005884368,0.0006985608,0.00005241519,0.00005279551,0.0002070974,0.0001428971,0.0002083802],"category_scores_gemma":[0.00004600118,0.0002775925,0.0001545853,0.002038909,0.00003336756,0.0003551828,0.00002878797,0.0002800629,0.0000212458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002545291,"about_ca_system_score_gemma":0.00002933448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003193513,"about_ca_topic_score_gemma":0.001252385,"domain_scores_codex":[0.9981557,0.00008673603,0.0005063303,0.0003083585,0.0002462076,0.0006966902],"domain_scores_gemma":[0.9992601,0.0001211531,0.0001009425,0.0003314138,0.00004607427,0.0001403287],"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":[0.0002902766,0.0004070671,0.005613699,0.000230162,0.001758607,0.00006721446,0.001502099,0.440865,0.5214735,0.0004022972,0.0003254767,0.02706459],"study_design_scores_gemma":[0.0008077442,0.00004657351,0.08972314,0.00001257742,0.0005423538,0.00000398764,0.0001226098,0.2825839,0.6252423,0.00004224114,0.000411789,0.0004608099],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916273,0.0001574749,0.0002968023,0.0000645379,0.0002208586,0.0004162238,0.00006897587,0.0001253488,0.007022464],"genre_scores_gemma":[0.9973746,0.00004235992,0.002151584,0.00003486907,0.00007562187,0.0001268191,0.00002459364,0.00003926471,0.0001302978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1582811,"threshold_uncertainty_score":0.9999676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0313223160368967,"score_gpt":0.2446465294193491,"score_spread":0.2133242133824524,"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."}}