{"id":"W7005189268","doi":"","title":"Profile analysis as a discrimination method applied to wavelet transformed biomedical spectra","year":2001,"lang":"en","type":"article","venue":"NPARC","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wavelet; Pattern recognition (psychology); Spectral line; Wavelet transform; Noise (video)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003142002,0.0001464268,0.0002294505,0.0002617723,0.00005169698,0.00002822684,0.0002032525,0.0001277038,0.0008133056],"category_scores_gemma":[0.0000568819,0.0001327854,0.0002035528,0.0008149711,0.00004238374,0.000003353996,0.00004743352,0.0000760883,0.00004175652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002563656,"about_ca_system_score_gemma":0.00003864827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002887959,"about_ca_topic_score_gemma":0.00008616815,"domain_scores_codex":[0.9987961,0.00004791011,0.0002278985,0.0004361795,0.0002376485,0.0002542661],"domain_scores_gemma":[0.9993531,0.00001117579,0.00004487848,0.0003879889,0.00005890401,0.0001439708],"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":[0.0000641283,0.0001024676,0.00004930629,0.000005765651,0.0002803429,0.000007144617,0.00009914239,0.000002697855,0.9474565,0.0002131197,0.004739739,0.04697968],"study_design_scores_gemma":[0.0002230967,0.0001778663,0.0005698525,0.00000255716,0.0004552954,0.00001005405,0.00009708126,0.0005194836,0.9492593,0.0007975941,0.04767986,0.0002079839],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1403283,0.00001467321,0.7445713,0.0009593565,0.00000951933,0.0003533209,0.000007916181,0.00005725043,0.1136983],"genre_scores_gemma":[0.8794594,0.0000641741,0.1169138,0.0005316212,0.0001208744,0.0001213889,0.000599116,0.00001950632,0.002170026],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7391311,"threshold_uncertainty_score":0.8905126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00788482105403769,"score_gpt":0.3004478021504757,"score_spread":0.292562981096438,"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."}}