{"id":"W4398690832","doi":"10.7910/dvn/ii5jzg/c8u27h","title":"MSP_F_70_NFL_4_37.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; Operations research; Mathematics; Geography; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001262382,0.004749591,0.002590876,0.004856067,0.00128274,0.004514481,0.005607529,0.004409418,0.2821544],"category_scores_gemma":[0.00969,0.001432276,0.002154503,0.008765215,0.0009686683,0.002942967,0.003145146,0.002555763,0.3172014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002351786,"about_ca_system_score_gemma":0.002741028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01910679,"about_ca_topic_score_gemma":0.02723931,"domain_scores_codex":[0.9986215,0.0001922442,0.000141555,0.0003744685,0.0003684953,0.0003018824],"domain_scores_gemma":[0.9969512,0.001117348,0.0002265868,0.0007752417,0.00064213,0.0002873727],"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":[0.00003724899,0.00002455299,0.0002619348,0.0007224056,0.00001899753,0.00001125109,0.00001404223,0.0003499174,0.00005586448,0.0003828944,0.9967141,0.001406663],"study_design_scores_gemma":[0.0005764244,0.0000411938,0.00192685,0.0004176566,0.00002871964,0.00007596581,0.00008870984,0.001055909,0.0006079056,0.002987895,0.9921484,0.00004435012],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001050839,0.00008687031,0.00006973978,0.00007419782,0.00002684478,0.000009466161,0.9977653,0.0008859314,0.0009766459],"genre_scores_gemma":[0.0004763004,0.0001012325,0.0003522709,0.00007213967,0.00001340542,0.00008100647,0.9979221,0.000244353,0.0007373025],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7178457,"threshold_uncertainty_score":0.9439003,"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."}}