{"id":"W6977669646","doi":"10.7281/t1/bmathh/lfvt1e","title":"14_B3.tar.018","year":2021,"lang":"en","type":"dataset","venue":"Research Data Repository, Duke University","topic":"Education Methods and Technologies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Process (computing); Object (grammar); Compression (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":["insufficient_payload"],"category_scores_codex":[0.001122954,0.001986481,0.001237475,0.003847322,0.001110205,0.002607863,0.003026446,0.00204213,0.3131744],"category_scores_gemma":[0.006495916,0.0008936207,0.001299877,0.00629006,0.0005046463,0.001446796,0.002156811,0.001669668,0.3223225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001447865,"about_ca_system_score_gemma":0.002630683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03042241,"about_ca_topic_score_gemma":0.04255857,"domain_scores_codex":[0.9988915,0.000173895,0.0001532935,0.000299256,0.0002364174,0.0002457093],"domain_scores_gemma":[0.9967203,0.0008181249,0.0002226569,0.0008935551,0.0009952872,0.0003500125],"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":[0.00005367996,0.00001881747,0.0002226488,0.0001990343,0.000008156133,0.000008866453,0.00001033037,0.00007669832,0.0000940531,0.0002011633,0.9979976,0.001109038],"study_design_scores_gemma":[0.000409499,0.0000323512,0.003691053,0.0001780956,0.00002233667,0.00005296473,0.0001131185,0.0004555467,0.0007386483,0.00141111,0.9928617,0.00003358459],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007063907,0.00001065496,0.00005296781,0.00004076856,0.0000165688,0.00001226188,0.9986582,0.0004875748,0.0006503172],"genre_scores_gemma":[0.0002830906,0.00001705792,0.000206655,0.00003155314,0.000009193686,0.00007150568,0.9981391,0.0001799608,0.001061774],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6868256,"threshold_uncertainty_score":0.9796733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4059556152547403,"score_gpt":0.5258440549810788,"score_spread":0.1198884397263384,"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."}}