{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002279266,0.0002743078,0.0002484348,0.00004353631,0.0007083247,0.0002660491,0.00305566,0.0001189573,0.003627251],"category_scores_gemma":[0.00009959789,0.0002099305,0.00005217617,0.000478032,0.00009989071,0.0006643264,0.0007437707,0.00154397,0.001029985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005466098,"about_ca_system_score_gemma":0.0002779817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001339243,"about_ca_topic_score_gemma":0.0001569726,"domain_scores_codex":[0.9977564,0.0004436449,0.0003093627,0.0006533661,0.0004058788,0.0004313081],"domain_scores_gemma":[0.9964862,0.0006268086,0.0002613935,0.002517039,0.00002914284,0.00007937341],"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":[0.000006642013,0.00002098867,0.0002677739,0.00001321901,0.00003861315,0.000004004138,0.00001796179,0.0000355076,0.000006177331,0.00002377101,0.990312,0.009253391],"study_design_scores_gemma":[0.00009820133,0.00001482636,0.00009912636,0.00002776887,0.00003326695,0.000001888091,0.0001089336,0.0002787405,0.000007548869,0.0009055517,0.9981582,0.0002659646],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005285184,0.0005617034,0.0003454093,0.0004769369,0.0007783714,0.0002349447,0.9972444,0.00002358889,0.0002817513],"genre_scores_gemma":[0.0000219681,0.0006504895,0.0002316762,0.0002033663,0.0004876717,0.00004403011,0.99746,0.00001467796,0.0008861186],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.008987426,"threshold_uncertainty_score":0.9997478,"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."}}