{"id":"W6959043219","doi":"10.7281/t1/bmathh/nuwprr","title":"15_B4.tar.016","year":2021,"lang":"en","type":"dataset","venue":"Research Data Repository, Duke University","topic":"Ion Channels and Receptors","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Process (computing); Object (grammar); Relation (database); 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.001107758,0.0003693354,0.0004647269,0.0006425352,0.001771995,0.0004005996,0.006099522,0.0005817869,0.000616842],"category_scores_gemma":[0.001450343,0.0003656264,0.0001542358,0.001215081,0.0007936505,0.0007266827,0.007641017,0.002244105,0.0007447112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006638257,"about_ca_system_score_gemma":0.001336479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003136115,"about_ca_topic_score_gemma":0.0002227137,"domain_scores_codex":[0.9923749,0.002099485,0.0002833414,0.002150288,0.002084085,0.001007924],"domain_scores_gemma":[0.9943821,0.0008819982,0.0001776405,0.003691193,0.0003491257,0.0005179461],"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":[0.00006816218,0.0002334881,0.000003170624,0.0001482862,0.00002855798,0.005233206,0.00001901873,0.000001989106,0.007011639,0.00004874281,0.9871011,0.0001026619],"study_design_scores_gemma":[0.0003126574,0.00007625834,0.000006427288,0.0001551259,0.00003709901,0.0001403317,0.0002823697,0.00006567591,0.01746304,0.000004614047,0.9810739,0.0003825062],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005250489,0.0001615463,0.000008206831,0.0003279734,0.002477396,0.0003781078,0.9927444,0.00007658832,0.003300699],"genre_scores_gemma":[0.0004861916,0.003743208,0.00003318949,0.00006304107,0.001170061,0.000001229145,0.9716454,0.00003154578,0.02282618],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02109908,"threshold_uncertainty_score":0.9998796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2802636803684933,"score_gpt":0.3893762621648081,"score_spread":0.1091125817963149,"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."}}