{"id":"W4398453699","doi":"10.7910/dvn/ii5jzg/ys4v2m","title":"MSP_F_150_NFL_4_5.xlsx","year":2020,"lang":"en","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":"Psychology","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","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003786469,0.000598478,0.0007570121,0.0003605648,0.0001654474,0.0008306514,0.008689271,0.0003264497,0.008372678],"category_scores_gemma":[0.0004362,0.0005852634,0.0002743733,0.001004564,0.0001085684,0.001508538,0.004883099,0.0007933488,0.7023562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001062124,"about_ca_system_score_gemma":0.0003435425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003766279,"about_ca_topic_score_gemma":0.0001293914,"domain_scores_codex":[0.995958,0.0001883983,0.0006114487,0.00158472,0.00103464,0.0006228458],"domain_scores_gemma":[0.9926919,0.0001227995,0.0004290456,0.006166606,0.0001048051,0.0004848415],"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":[0.00000668861,0.00005760938,0.000001352522,0.0000719196,0.0001579842,0.0005795247,0.00001668043,0.000004761394,0.000006185953,0.0003744857,0.9978737,0.0008491644],"study_design_scores_gemma":[0.0002980707,0.00005197373,0.000008923222,0.00004447789,0.0001813954,0.00003094074,0.000008013573,0.0009819651,0.00001748767,0.00007503176,0.9976639,0.0006377783],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[1.484471e-7,0.00000154816,0.01570256,0.00007758859,0.001021385,0.0002202304,0.9824255,0.0002695581,0.000281521],"genre_scores_gemma":[0.000001013409,0.0002422219,0.009280186,0.003282116,0.0004414564,0.00002468987,0.9864642,0.00002556754,0.0002385174],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6939835,"threshold_uncertainty_score":0.9996599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01689064407718472,"score_gpt":0.237007039740327,"score_spread":0.2201163956631423,"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."}}