{"id":"W4398701973","doi":"10.7910/dvn/ii5jzg/ki16tg","title":"MSP_F_150_NFL_4_36.xlsx","year":2020,"lang":"pt","type":"dataset","venue":"Harvard Dataverse","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Physics","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":["insufficient_payload"],"category_scores_codex":[0.002536603,0.003378632,0.003005867,0.004806962,0.001707674,0.004603197,0.005368127,0.003438032,0.5620388],"category_scores_gemma":[0.01739773,0.001597054,0.001795468,0.007043574,0.001172405,0.003191026,0.004217236,0.002355296,0.4291574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001786419,"about_ca_system_score_gemma":0.003545103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01152776,"about_ca_topic_score_gemma":0.01526244,"domain_scores_codex":[0.9980945,0.0003174966,0.000230775,0.0005391131,0.0003797931,0.0004382239],"domain_scores_gemma":[0.9938968,0.002629212,0.0004738763,0.001137617,0.001311939,0.000550471],"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":[0.00006400728,0.00001867252,0.0002922492,0.0008555133,0.0000229061,0.00001435333,0.00003268006,0.00009996027,0.0001148556,0.0004090245,0.9966882,0.00138764],"study_design_scores_gemma":[0.0008447758,0.00004041612,0.002298854,0.0005753532,0.00004380689,0.00006870412,0.0001025088,0.0003152022,0.0008771621,0.003072483,0.9916813,0.00007957887],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006508866,0.00003254509,0.0001154331,0.00007444254,0.00002883418,0.00002150217,0.9974406,0.001372005,0.0008495474],"genre_scores_gemma":[0.0009296958,0.00008276593,0.001200967,0.0002097891,0.00003211953,0.0006374128,0.9931289,0.001774748,0.002003579],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4379612,"threshold_uncertainty_score":0.6246984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02348971526032514,"score_gpt":0.2485774531137185,"score_spread":0.2250877378533933,"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."}}