{"id":"W4398984178","doi":"10.7910/dvn/v1rjpf/nupxyf","title":"mea20150606_03.txt.gz","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Mathematics","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004955592,0.001034213,0.001059437,0.0004302844,0.0001975241,0.0003144966,0.002616994,0.000729893,0.7400041],"category_scores_gemma":[0.001160349,0.001094509,0.0003487096,0.0006546386,0.0002962955,0.0006707673,0.001961808,0.001498436,0.9995701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003694553,"about_ca_system_score_gemma":0.0005413445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007089917,"about_ca_topic_score_gemma":0.0003808803,"domain_scores_codex":[0.9950259,0.0003133703,0.0007913409,0.00153342,0.001363227,0.000972797],"domain_scores_gemma":[0.9945755,0.0001281923,0.0006392696,0.003678184,0.0001697512,0.0008091169],"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":[0.0001774842,0.0001448695,0.000001923852,0.000251114,0.0003216006,0.001084576,0.00002162166,0.000003939403,0.0001118487,0.00003374894,0.9977636,0.00008364693],"study_design_scores_gemma":[0.001010335,0.00008804123,0.00001054929,0.0001376487,0.000686665,0.00006712657,0.00005599176,0.00001913242,0.00005340686,0.00002196333,0.9967235,0.001125587],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001344188,1.163135e-7,0.00001136226,0.000002159847,0.001345927,0.0006722641,0.9966583,0.0005070897,0.0008014073],"genre_scores_gemma":[0.000001405572,0.0001947352,0.0004884821,0.001135878,0.001272264,0.0000759534,0.9961417,0.0002549854,0.0004346536],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2595661,"threshold_uncertainty_score":0.9991505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02836286232208673,"score_gpt":0.2577683967869728,"score_spread":0.2294055344648861,"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."}}