{"id":"W4398291364","doi":"10.7910/dvn/ii5jzg/mbxxgh","title":"MSP_F_50_NFL_4_49.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; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00125113,0.0047009,0.002616746,0.004774148,0.001317381,0.004653672,0.005682134,0.004438234,0.2965129],"category_scores_gemma":[0.009642655,0.001407212,0.002151625,0.008674464,0.0009868268,0.002949378,0.003200852,0.002572075,0.3321058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002296491,"about_ca_system_score_gemma":0.002632327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01850904,"about_ca_topic_score_gemma":0.02634235,"domain_scores_codex":[0.9986171,0.0001950453,0.0001415258,0.0003793452,0.0003617848,0.0003052735],"domain_scores_gemma":[0.9969575,0.001079688,0.0002229907,0.000797478,0.0006506586,0.0002917197],"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":[0.00003608391,0.00002476395,0.0002534943,0.0006822782,0.00001823324,0.00001080796,0.00001350812,0.0003146936,0.00005475115,0.0003645149,0.9968688,0.001358012],"study_design_scores_gemma":[0.0005716441,0.00004148053,0.001924576,0.0004188898,0.00002831207,0.00007469231,0.00009069302,0.000986286,0.0006016667,0.002867078,0.9923514,0.00004318553],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001044942,0.00008520293,0.00006737311,0.00007480994,0.00002879846,0.000009944511,0.9977472,0.0008483483,0.001033892],"genre_scores_gemma":[0.0004688317,0.00009661676,0.0003368406,0.0000729616,0.0000135732,0.00008006894,0.9979121,0.000237815,0.0007810703],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.703487,"threshold_uncertainty_score":0.9919346,"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."}}