{"id":"W4384564283","doi":"10.1016/j.chemolab.2023.104916","title":"Factor analysis for signal modeling and noise characterization in spectro-kinetic data","year":2023,"lang":"en","type":"article","venue":"Chemometrics and Intelligent Laboratory Systems","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Heteroscedasticity; Noise (video); Mathematics; Smoothing; Statistics; Algorithm; Computer science; Artificial intelligence","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":[0.00308457,0.00221014,0.001106632,0.001794262,0.0008143624,0.001321932,0.001224237,0.001116744,0.003382632],"category_scores_gemma":[0.013357,0.0005301072,0.001731634,0.002487936,0.0008405533,0.001832293,0.0007647554,0.001685297,0.002616949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007700539,"about_ca_system_score_gemma":0.001368375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00571569,"about_ca_topic_score_gemma":0.003089027,"domain_scores_codex":[0.9976101,0.00086567,0.0002218057,0.0004802921,0.0006747151,0.0001474813],"domain_scores_gemma":[0.9943184,0.003557608,0.0003070401,0.0007830404,0.0009435461,0.00009038498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008900437,0.0003359376,0.00163865,0.0005950052,0.0002549113,0.0002607442,0.0003317586,0.1380915,0.09193878,0.04403443,0.006366145,0.7152621],"study_design_scores_gemma":[0.00001988389,0.00009852543,0.0007721997,0.00002308251,0.00005669966,0.0001367863,0.00004106242,0.9504531,0.02876978,0.01433808,0.005240217,0.00005056422],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001568142,0.00006928575,0.9973364,0.00002507075,0.00001087086,0.00002169715,0.00009025628,0.0007830624,0.00009523422],"genre_scores_gemma":[0.08663724,0.0003598752,0.9095879,0.00006095011,0.00006725717,0.0002235609,0.001007459,0.0007665324,0.001289275],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00571569,"threshold_uncertainty_score":0.01631296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07453700199509453,"score_gpt":0.3049753589768128,"score_spread":0.2304383569817182,"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."}}