{"id":"W7066023631","doi":"","title":"Fourier transform infrared spectra clustering forbiochar: a principal component analysisapproach","year":2024,"lang":"en","type":"other","venue":"Memorial University Research Repository (Memorial University)","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Principal component analysis; Fourier transform; Pattern recognition (psychology); Sample (material); Fourier transform infrared spectroscopy; Spectral line; Intensity (physics); Cluster analysis","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":[0.001571707,0.001837787,0.0007527206,0.004129948,0.0007998775,0.00151675,0.001080903,0.0005357292,0.008767121],"category_scores_gemma":[0.002411454,0.0003882243,0.001115756,0.003636066,0.0004842422,0.000994846,0.0009940384,0.0009382546,0.004252644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005428976,"about_ca_system_score_gemma":0.001080686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004453472,"about_ca_topic_score_gemma":0.007386411,"domain_scores_codex":[0.9990097,0.0001243679,0.00005994283,0.0002183884,0.0004813672,0.0001062655],"domain_scores_gemma":[0.9990481,0.0001722695,0.00010678,0.0001801503,0.0004484665,0.00004420229],"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":[0.0004140562,0.0006047841,0.01079445,0.0003639142,0.0001589196,0.0001573312,0.0005605391,0.01318161,0.1292001,0.003836019,0.01633658,0.8243917],"study_design_scores_gemma":[0.00007523506,0.000320631,0.07089992,0.0000584871,0.0001424203,0.0003785509,0.0006469683,0.7002696,0.1742006,0.007374165,0.04536072,0.00027268],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.104832,0.0002829597,0.8658862,0.000355001,0.0001411426,0.0005890653,0.003427258,0.01831901,0.006167261],"genre_scores_gemma":[0.1819348,0.0002750328,0.8015618,0.00004636717,0.0000476005,0.000449858,0.005897373,0.00131322,0.008473969],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008767121,"threshold_uncertainty_score":0.02932894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02868018554177066,"score_gpt":0.2543973463782083,"score_spread":0.2257171608364377,"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."}}