{"id":"W6973795704","doi":"10.57745/jrqess/igfydl","title":"milk_5_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":[0.001332071,0.005189501,0.002090566,0.0040439,0.00117137,0.00358067,0.003863778,0.004126564,0.2252742],"category_scores_gemma":[0.007037619,0.001483734,0.002324654,0.005098788,0.0008015197,0.002442033,0.002859256,0.002334754,0.3244643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002306268,"about_ca_system_score_gemma":0.002450599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03067228,"about_ca_topic_score_gemma":0.04377577,"domain_scores_codex":[0.998398,0.000266311,0.0001407188,0.0005039338,0.0003960469,0.0002950151],"domain_scores_gemma":[0.9975903,0.0006824791,0.000161965,0.0007026447,0.0006670151,0.0001956022],"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":[0.00005432198,0.00002206307,0.0002691767,0.0003728025,0.00002029142,0.00001342353,0.00001449105,0.0001824687,0.0001249381,0.0002290076,0.9970003,0.001696641],"study_design_scores_gemma":[0.0003496908,0.00004086062,0.00282896,0.000207824,0.00002663971,0.00007530074,0.00009068999,0.0007785983,0.001016499,0.001423454,0.9931069,0.00005453777],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000119104,0.00006277148,0.0001010994,0.00008064724,0.000037996,0.00001371313,0.9969325,0.001793299,0.0008588067],"genre_scores_gemma":[0.0002887655,0.00003783161,0.0003705099,0.00005153246,0.000008451669,0.0000504076,0.9979404,0.0003392446,0.000912846],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7747258,"threshold_uncertainty_score":0.7536173,"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."}}