{"id":"W6936230218","doi":"10.57745/jrqess","title":"The GLOPACK packaging score, template","year":2022,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Conestoga Meat Packers (Canada)","funders":"","keywords":"Column (typography); Interchangeability; Key (lock); R package","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":[0.001065181,0.003109019,0.001332233,0.003991061,0.0007753355,0.002332661,0.002323775,0.002053122,0.04017529],"category_scores_gemma":[0.005445676,0.0007483902,0.001702741,0.005374444,0.0005050412,0.001498578,0.001912458,0.001901293,0.09078204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001504832,"about_ca_system_score_gemma":0.002383051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02696633,"about_ca_topic_score_gemma":0.04763727,"domain_scores_codex":[0.9982637,0.0002345077,0.0002083709,0.0005391967,0.0005123937,0.0002418254],"domain_scores_gemma":[0.9978023,0.0004771205,0.0002021907,0.0006598696,0.0006719296,0.0001864787],"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":[0.00009920095,0.00004622737,0.001372567,0.0004808968,0.00003461834,0.00002906512,0.00002815383,0.000502212,0.0003019801,0.0003662249,0.9926183,0.004120497],"study_design_scores_gemma":[0.0002527325,0.00004976751,0.009452828,0.0002244654,0.00003645961,0.0001162469,0.0001239653,0.001142376,0.001291513,0.00145915,0.9857926,0.00005785135],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003122351,0.00004989743,0.0001150953,0.00003442507,0.000024571,0.00001381012,0.9978579,0.0009486385,0.0006433916],"genre_scores_gemma":[0.0003741398,0.00002501694,0.0003243006,0.00002460585,0.000004752938,0.00004103743,0.9986607,0.0001196687,0.0004257854],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04017529,"threshold_uncertainty_score":0.1343997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2188503308503689,"score_gpt":0.3574188063003115,"score_spread":0.1385684754499427,"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."}}