{"id":"W4398389429","doi":"10.7910/dvn/ii5jzg/mxmugs","title":"MSP_F_50_NFL_4_14.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); Resolution (logic); Computer science; Mathematics; Artificial intelligence; Geography; 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":[0.00007481008,0.0003371187,0.0003207181,0.000120484,0.00005304972,0.0001272624,0.0005343271,0.0002863832,0.02762534],"category_scores_gemma":[0.00006161432,0.0003688209,0.00008839634,0.0002128228,0.00003426884,0.000162308,0.0001571215,0.0003589901,0.4106722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005239341,"about_ca_system_score_gemma":0.00003852072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002234928,"about_ca_topic_score_gemma":0.00002424055,"domain_scores_codex":[0.9988642,0.00002662825,0.0002828193,0.0003081597,0.0002370761,0.0002811504],"domain_scores_gemma":[0.998875,0.00003039311,0.00005711408,0.0008158874,0.00002902363,0.0001925582],"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":[0.000004456936,0.00001021507,6.848155e-7,0.0002868363,0.00007051807,0.00004867155,0.00001618895,0.007505615,0.000006005915,0.00001278944,0.9919078,0.0001301557],"study_design_scores_gemma":[0.0002346666,0.00001505462,0.000001224516,0.00006148788,0.0000698401,0.000007715344,0.000008444435,0.002777263,0.00001625222,0.000006024321,0.9964003,0.0004017194],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[1.940821e-7,0.000002278027,0.0006066895,0.000005966484,0.001351916,0.0001751501,0.9958835,0.0004622733,0.001511998],"genre_scores_gemma":[0.000002955933,0.00106358,0.0008747929,0.0003747366,0.0003388926,0.0000162021,0.9970757,0.00005724347,0.0001958596],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3830469,"threshold_uncertainty_score":0.9998764,"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."}}