{"id":"W6935969263","doi":"10.57745/jrqess/fe839n","title":"milk_3_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":[0.001313571,0.00526053,0.002101187,0.003959775,0.00116829,0.003636906,0.003939303,0.004123949,0.2250731],"category_scores_gemma":[0.006995997,0.001515975,0.002389339,0.005177203,0.0008088178,0.002439264,0.002898877,0.002379302,0.3269608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002296088,"about_ca_system_score_gemma":0.002486979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03132905,"about_ca_topic_score_gemma":0.04409301,"domain_scores_codex":[0.9984128,0.0002557767,0.0001388461,0.0004998077,0.0003996824,0.0002929426],"domain_scores_gemma":[0.9975793,0.0006761916,0.0001623876,0.0007138851,0.0006722597,0.000195949],"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":[0.00005479854,0.00002162399,0.0002687009,0.00036606,0.00002053521,0.00001329818,0.00001441457,0.0001836308,0.0001304346,0.0002239401,0.9970431,0.00165953],"study_design_scores_gemma":[0.0003566113,0.00003993657,0.00276294,0.000200795,0.00002661892,0.00007372831,0.00008943189,0.0008115566,0.001051801,0.001450156,0.993081,0.00005542677],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001145447,0.00005837709,0.0001004492,0.00007942411,0.00003698326,0.000013228,0.9969536,0.001828137,0.0008153065],"genre_scores_gemma":[0.000283405,0.00003721164,0.0003713854,0.00005063511,0.00000834567,0.00005070691,0.9979441,0.0003626278,0.0008915307],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7749269,"threshold_uncertainty_score":0.7529446,"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."}}