{"id":"W7038559208","doi":"","title":"Implementation of Wavelet Encoding Spectroscopic Imaging Technique on a 3 Tesla Whole Body MR Scanner","year":2010,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Encoding (memory); Wavelet; Scanner; Noise (video); SIGNAL (programming language); Fourier transform; Data acquisition; Wavelet transform","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003317698,0.0002796265,0.0002330703,0.0002452308,0.000137733,0.0004016732,0.0005030377,0.0004376328,0.005252024],"category_scores_gemma":[0.0003894748,0.0002089879,0.0001793167,0.0002782354,0.0001000238,0.0003063929,0.0002406695,0.0003669966,0.00169653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00015179,"about_ca_system_score_gemma":0.0004920398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004915206,"about_ca_topic_score_gemma":0.0009114462,"domain_scores_codex":[0.999929,0.00001112906,0.000004410769,0.00001475804,0.00003249208,0.000008211469],"domain_scores_gemma":[0.9998367,0.00003881383,0.00001278224,0.00003218007,0.00006661744,0.00001295331],"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":[0.0001903801,0.00005510666,0.0006218721,0.0001496955,0.00003000512,0.000265091,0.0001259692,0.004442906,0.8371474,0.002693387,0.002052319,0.1522258],"study_design_scores_gemma":[0.00008441738,0.0009492773,0.009118983,0.00007400876,0.00009532031,0.003149755,0.0001741039,0.1509805,0.779537,0.001947655,0.05380109,0.00008790921],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05667724,0.0001917137,0.9350948,0.0002730365,0.00004754092,0.0001798549,0.0002507087,0.002293518,0.004991611],"genre_scores_gemma":[0.100344,0.000386372,0.8928309,0.00007675454,0.00001341517,0.000179473,0.0003148305,0.0001966435,0.00565757],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005252024,"threshold_uncertainty_score":0.01756978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005408655787335325,"score_gpt":0.2240070924250054,"score_spread":0.2185984366376701,"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."}}