{"id":"W4398287218","doi":"10.7910/dvn/ii5jzg/moimys","title":"MSP_F_50_NFL_4_9.xlsx","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Optimization and Packing Problems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Context (archaeology); Computer science; History; Archaeology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00007405312,0.0003324174,0.0003168462,0.0001185752,0.00005229498,0.0001255683,0.0005260864,0.0002856223,0.02417582],"category_scores_gemma":[0.00006089966,0.0003635788,0.0000870544,0.000209576,0.00003355628,0.0001601238,0.0001549323,0.0004964196,0.4116775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005066691,"about_ca_system_score_gemma":0.00003754631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002214323,"about_ca_topic_score_gemma":0.00002515073,"domain_scores_codex":[0.9988927,0.00002624049,0.0002839373,0.0003033704,0.0002338659,0.0002599148],"domain_scores_gemma":[0.9988908,0.00002996068,0.0000561681,0.0008053333,0.00002794347,0.0001897483],"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":[0.000004393698,0.000009994469,6.875741e-7,0.0002874018,0.00006956037,0.00004817087,0.00001263552,0.007559827,0.000005327731,0.00001603842,0.9918664,0.000119574],"study_design_scores_gemma":[0.0002364381,0.00001490466,0.000001209238,0.00006091813,0.00006894091,0.000007612092,0.000007800596,0.002949196,0.00001527182,0.000006878971,0.996235,0.0003958428],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[1.729685e-7,0.000002158733,0.0006374547,0.000005478601,0.001350044,0.0001726842,0.9957482,0.0004541595,0.001629704],"genre_scores_gemma":[0.000003708166,0.0007818565,0.0008461821,0.0003776449,0.0003289336,0.00001592478,0.9974136,0.00005638449,0.0001757154],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3875017,"threshold_uncertainty_score":0.9998816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01453785021965989,"score_gpt":0.2085162319873152,"score_spread":0.1939783817676553,"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."}}