{"id":"W4398659478","doi":"10.7910/dvn/ii5jzg/idxqpt","title":"MSP_F_150_NFL_4_46.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":[],"category_scores_codex":[0.002469895,0.003330013,0.002941242,0.004675485,0.001721139,0.004578154,0.005273779,0.003402027,0.559828],"category_scores_gemma":[0.01709351,0.001566326,0.001771863,0.006856553,0.001154204,0.003128561,0.004137884,0.002349188,0.4368139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001782996,"about_ca_system_score_gemma":0.003496447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01166502,"about_ca_topic_score_gemma":0.01537822,"domain_scores_codex":[0.9981086,0.0003164305,0.0002243695,0.000536396,0.0003765518,0.0004375453],"domain_scores_gemma":[0.994015,0.002543862,0.0004575687,0.00112669,0.001309177,0.0005477896],"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":[0.00006222625,0.00001846551,0.0002919626,0.0008130362,0.00002222403,0.00001357539,0.00003102658,0.00009996096,0.0001153459,0.0003966024,0.9967901,0.001345512],"study_design_scores_gemma":[0.0008208331,0.00004076609,0.002307357,0.0005551688,0.00004297885,0.0000675643,0.0001012217,0.0003136414,0.0008764688,0.002950453,0.9918467,0.00007678281],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000648049,0.00003188107,0.0001119442,0.00007309895,0.00002913599,0.00002104314,0.9974935,0.001313896,0.000860775],"genre_scores_gemma":[0.0008914847,0.00007799232,0.001106759,0.0002048721,0.00003071343,0.0005925042,0.9934501,0.001663173,0.001982481],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.559828,"threshold_uncertainty_score":0.6278518,"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."}}