{"id":"W4398984027","doi":"10.7910/dvn/v1rjpf/uayadj","title":"mea20170811_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":"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005172925,0.001052033,0.001089352,0.0004536247,0.0002300582,0.0003361937,0.002814056,0.0007370694,0.7369656],"category_scores_gemma":[0.001304545,0.001110483,0.0003657453,0.0006210843,0.0003042868,0.000660014,0.002070168,0.00150114,0.9996445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003568896,"about_ca_system_score_gemma":0.0005134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007335092,"about_ca_topic_score_gemma":0.0003259337,"domain_scores_codex":[0.9949712,0.0003219644,0.000790663,0.001572177,0.001354756,0.0009892822],"domain_scores_gemma":[0.9942834,0.0001384774,0.0006733098,0.003946926,0.0001677791,0.0007900886],"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":[0.0001844919,0.0001505652,0.000001810864,0.0002758166,0.0003446127,0.001168177,0.00002896533,0.000003552502,0.0001225101,0.00002993397,0.9976103,0.00007929465],"study_design_scores_gemma":[0.001019364,0.00008630379,0.00001134138,0.0001443354,0.000709808,0.00006703819,0.00005860613,0.0000201232,0.00005114231,0.00002307985,0.9966454,0.001163495],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001292349,1.183136e-7,0.00001186938,0.000002261265,0.00143468,0.0006992279,0.9964257,0.0005150951,0.0009097953],"genre_scores_gemma":[0.000001517209,0.000236845,0.0004666049,0.001275846,0.001314315,0.00008249002,0.9958754,0.000264533,0.0004824841],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2626789,"threshold_uncertainty_score":0.9991345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02822141353694597,"score_gpt":0.2584621885826931,"score_spread":0.2302407750457471,"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."}}