{"id":"W7056104319","doi":"","title":"Evidence accumulation for identifying discriminatory signatures in biomedical spectra","year":2005,"lang":"en","type":"article","venue":"NPARC","topic":"Particle accelerators and beam dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Spectral line; Noise (video); Pattern recognition (psychology); Feature (linguistics)","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":[0.0001437775,0.00007583079,0.00008558883,0.00007969942,0.00002754436,0.00003236935,0.00009764585,0.00006348007,0.00007220533],"category_scores_gemma":[0.00005389035,0.0000743815,0.00003161667,0.0001248674,0.00001851895,0.0003043009,0.00001308371,0.0001013482,0.000008706108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009331973,"about_ca_system_score_gemma":0.00001107241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000267528,"about_ca_topic_score_gemma":0.00005006272,"domain_scores_codex":[0.9994037,0.000008194853,0.0001604638,0.0001110199,0.0001154537,0.0002011952],"domain_scores_gemma":[0.9997476,0.00008198483,0.00001283769,0.0000964167,0.00001226929,0.00004892431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002373039,0.00007818823,0.00283376,0.0001688355,0.00001581477,0.00000802786,0.0008192419,0.03739706,0.8818951,0.003119631,0.003002994,0.07063764],"study_design_scores_gemma":[0.0002953911,0.00002068016,0.02343861,0.0001075154,0.000009844748,0.000001007429,0.00005307123,0.9458601,0.02636069,0.002685136,0.001005211,0.0001627459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765865,0.0003730202,0.02196303,0.0002063901,0.0001652509,0.0001417654,0.000003145946,0.000109716,0.0004511945],"genre_scores_gemma":[0.9934253,0.00003846448,0.006266506,0.000035707,0.0001712621,0.00002443364,0.000003299101,0.00001493904,0.00002006723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9084631,"threshold_uncertainty_score":0.3033189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07128887066005613,"score_gpt":0.3275685960841621,"score_spread":0.256279725424106,"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."}}