{"id":"W6898554111","doi":"10.57745/jrqess/doh3dz","title":"milk_4_GLOPACK packaging score_template-1.xlsx","year":2022,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Conestoga Meat Packers (Canada)","funders":"","keywords":"Process (computing); Work (physics); Quality (philosophy); Component (thermodynamics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001319561,0.005232265,0.002095732,0.0040494,0.001163416,0.003594974,0.003920882,0.004131383,0.2294957],"category_scores_gemma":[0.007129046,0.001519845,0.002356752,0.005154381,0.0008124463,0.002457561,0.002895122,0.002356065,0.3301826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002308307,"about_ca_system_score_gemma":0.002468169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03053342,"about_ca_topic_score_gemma":0.04322533,"domain_scores_codex":[0.9984188,0.0002590086,0.0001379202,0.0004948736,0.0003964247,0.0002929393],"domain_scores_gemma":[0.9975616,0.0006844948,0.0001636125,0.0007154754,0.0006773565,0.0001974094],"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":[0.00005514051,0.00002216113,0.0002711715,0.0003670202,0.00002061654,0.00001325748,0.00001440201,0.0001840373,0.00013059,0.0002241536,0.9970168,0.001680649],"study_design_scores_gemma":[0.0003632979,0.0000413181,0.002818957,0.0002037996,0.0000268057,0.00007376609,0.00009019661,0.0007958228,0.001041956,0.001443345,0.9930452,0.00005557],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000118282,0.00006000047,0.00009916793,0.00008161285,0.00003821078,0.00001359788,0.9969643,0.001791756,0.0008332012],"genre_scores_gemma":[0.000288036,0.00003789768,0.0003715343,0.0000512827,0.00000862761,0.00005172442,0.9979029,0.0003578483,0.0009301804],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7705043,"threshold_uncertainty_score":0.7677396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4458452397871948,"score_gpt":0.4411112120470634,"score_spread":0.004734027740131319,"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."}}