{"id":"W7062045703","doi":"","title":"Statistical approaches for milk composition determination using combined near infrared, Raman, conductivity, and refractive index measurements","year":2002,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Refractive index; Index (typography); Statistical analysis; Analytical Chemistry (journal)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.004203218,0.0008715276,0.0006275104,0.005245411,0.0008201169,0.001647886,0.001485496,0.0006248063,0.002111687],"category_scores_gemma":[0.00656763,0.0005837476,0.0009514717,0.002505225,0.0006585568,0.001215414,0.001044635,0.000820889,0.001724451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007677327,"about_ca_system_score_gemma":0.001765495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003693325,"about_ca_topic_score_gemma":0.00957378,"domain_scores_codex":[0.9975298,0.0007710138,0.0001292874,0.0004475867,0.00101286,0.0001093991],"domain_scores_gemma":[0.9968033,0.001478166,0.0005012996,0.0003745825,0.0007599419,0.00008277244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002343788,0.0005318961,0.043966,0.0007198606,0.00084091,0.0001705384,0.000484481,0.0299885,0.2023018,0.01760703,0.003846464,0.6993081],"study_design_scores_gemma":[0.00005878167,0.0004979118,0.09082825,0.0001316355,0.0004025409,0.0006602805,0.00079348,0.6629708,0.1725451,0.04629117,0.02444789,0.0003721297],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03956961,0.001197863,0.9539225,0.0002787691,0.00006983345,0.0001643797,0.0009105841,0.00123967,0.002646868],"genre_scores_gemma":[0.2128745,0.001357281,0.7780352,0.0001674631,0.0001352316,0.000549278,0.001316088,0.00019454,0.005370275],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005245411,"threshold_uncertainty_score":0.02222902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07284192725336176,"score_gpt":0.2970355501562749,"score_spread":0.2241936229029132,"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."}}