{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001299463,0.000563711,0.000484172,0.001589262,0.0003815415,0.001283288,0.0006448922,0.000634474,0.006596571],"category_scores_gemma":[0.003031191,0.0003058028,0.0006693699,0.00150652,0.000447844,0.001103774,0.0008392683,0.001187384,0.003348245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002897227,"about_ca_system_score_gemma":0.000643337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004133037,"about_ca_topic_score_gemma":0.0005141939,"domain_scores_codex":[0.9995013,0.00009351,0.00003352712,0.00009200822,0.0002316581,0.00004805525],"domain_scores_gemma":[0.9985661,0.0006083123,0.00009974551,0.0001840733,0.0004389418,0.0001029225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006657242,0.0001603315,0.0009200237,0.0002486643,0.00004280795,0.0001428773,0.00007859992,0.00374795,0.4645291,0.01200732,0.002850129,0.5146065],"study_design_scores_gemma":[0.00007294247,0.0003462168,0.00787991,0.00005622025,0.0001057453,0.001370152,0.00008389944,0.5853798,0.374196,0.01241593,0.01800082,0.0000923526],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.014391,0.00009407339,0.9819062,0.00008991094,0.00008697694,0.00007007534,0.0001758657,0.001477403,0.001708571],"genre_scores_gemma":[0.1456243,0.0004124205,0.8476574,0.00009127842,0.00007674468,0.0001998852,0.0005553259,0.0006303331,0.004752251],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006596571,"threshold_uncertainty_score":0.02206773,"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."}}