{"id":"W4398957567","doi":"10.7910/dvn/v1rjpf/guaoa3","title":"mea20150603_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":"Computer science","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":[0.001339039,0.003449212,0.002287397,0.005259899,0.00129566,0.005247915,0.00482935,0.003707033,0.3186862],"category_scores_gemma":[0.01001047,0.001211707,0.001900331,0.00940272,0.0008233861,0.003238228,0.003810693,0.002400928,0.3738924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002214902,"about_ca_system_score_gemma":0.002638363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03258072,"about_ca_topic_score_gemma":0.0489344,"domain_scores_codex":[0.9988239,0.0002243869,0.0001136111,0.0003847987,0.0002176214,0.0002356581],"domain_scores_gemma":[0.9966993,0.001015644,0.0002658006,0.0008385907,0.0007807115,0.0003999207],"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":[0.00003203792,0.000006841346,0.000171279,0.0004394368,0.00002061114,0.000007043639,0.00001359449,0.0001191446,0.00003933774,0.0003693867,0.9980875,0.0006937265],"study_design_scores_gemma":[0.000264677,0.00001531632,0.001189708,0.0003304206,0.00002843964,0.00002427915,0.00006283184,0.0002730587,0.0002257971,0.002045536,0.9955052,0.00003469523],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002720282,0.00004250817,0.00003301462,0.00007280414,0.00002654574,0.000004455751,0.998678,0.0004939995,0.0006215473],"genre_scores_gemma":[0.0002395824,0.00006007437,0.0001509522,0.00009189419,0.00001486262,0.00004924397,0.9982331,0.0002863362,0.0008739365],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6813138,"threshold_uncertainty_score":0.9718114,"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."}}