{"id":"W2545892323","doi":"10.1255/jnirs.1250","title":"Near Infrared Spectroscopy for Rapid Estimation of Somatic Cell Counts in Human Breast Milk","year":2016,"lang":"en","type":"article","venue":"Journal of Near Infrared Spectroscopy","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of New Brunswick","funders":"","keywords":"Somatic cell count; Mastitis; Spectroscopy; Near-infrared spectroscopy; Wavelet; Materials science; Analytical Chemistry (journal); Chemistry; Chromatography; Biology; Medicine; Computer science; Artificial intelligence; Pathology; Optics; Lactation; Physics; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004690144,0.0001520855,0.0003641842,0.00004123856,0.0001259843,0.00006779793,0.0003212048,0.0001139099,0.00162862],"category_scores_gemma":[0.0001128759,0.00006519846,0.0001629971,0.0002106057,0.0001206197,0.0002753452,0.00003353191,0.0001466856,0.00003088234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009502323,"about_ca_system_score_gemma":0.00006677692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001637403,"about_ca_topic_score_gemma":0.00001824795,"domain_scores_codex":[0.9984864,0.00008726308,0.0006841243,0.0001538466,0.00031256,0.0002757997],"domain_scores_gemma":[0.9989367,0.0002219562,0.0005255716,0.00009592212,0.0001258495,0.00009395829],"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":[0.0002574638,0.0002541869,0.001715894,0.00007332253,0.00002359474,0.000009097691,0.0002466475,0.0000389348,0.9726714,0.0005682899,0.01949767,0.004643527],"study_design_scores_gemma":[0.005930651,0.005860562,0.08932362,0.001441486,0.0001221783,0.0001860989,0.0004724387,0.001391681,0.731363,0.08873038,0.07418775,0.000990159],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920615,0.0001795736,0.0007346701,0.0005342884,0.00027609,0.0002557836,0.0001355117,0.00001815042,0.005804451],"genre_scores_gemma":[0.9775214,0.0001576739,0.0205312,0.0001488793,0.0004044123,0.000008814115,0.00002191045,0.000005420683,0.001200266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2413084,"threshold_uncertainty_score":0.999284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01691784600707752,"score_gpt":0.2621392813542645,"score_spread":0.2452214353471869,"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."}}