{"id":"W4393057948","doi":"10.47761/494a02f6.ea2e55ca","title":"DISSONANT GRIDS: milk fills in the gaps","year":2024,"lang":"en","type":"article","venue":"InVisible Culture","topic":"Digestive system and related health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Consonance and dissonance; Geography; Physics; Acoustics","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":[0.000845055,0.0005681097,0.0001970574,0.0004937379,0.00542586,0.005509668,0.0009385764,0.001771266,0.04273626],"category_scores_gemma":[0.003394832,0.0003020822,0.0002444481,0.0005362125,0.006080467,0.006758932,0.005466404,0.002473703,0.008820354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002143693,"about_ca_system_score_gemma":0.001863149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006360885,"about_ca_topic_score_gemma":0.01505747,"domain_scores_codex":[0.9992561,0.0003003504,0.00001751451,0.00009678565,0.0001808827,0.0001484112],"domain_scores_gemma":[0.9991493,0.0001983847,0.00006107548,0.0001065144,0.0001270345,0.0003575887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001680685,0.00005795318,0.002064076,0.0001594663,0.000008275116,0.00119858,0.02899948,0.0001046202,0.001541067,0.1922302,0.6836739,0.0897943],"study_design_scores_gemma":[0.00001171633,0.00002279599,0.0007083122,0.0001091351,0.000003097927,0.0004985458,0.01867108,0.0001097559,0.0004387079,0.02149369,0.9579239,0.000009129033],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04789437,0.009631351,0.01381088,0.1485308,0.007524604,0.00008943727,0.0003746051,0.002066415,0.7700776],"genre_scores_gemma":[0.4413082,0.005787814,0.01235303,0.0374753,0.001324472,0.0001473388,0.0003118772,0.001566001,0.499726],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04273626,"threshold_uncertainty_score":0.142967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008978392336284627,"score_gpt":0.2812314702010495,"score_spread":0.2722530778647649,"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."}}