{"id":"W4398887675","doi":"10.7910/dvn/ticzzh/ebjsqq","title":"famben_1Apr2020-1.tab","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","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":[0.001235995,0.003573309,0.002257497,0.004906742,0.001121903,0.004157622,0.004009716,0.003332363,0.3032874],"category_scores_gemma":[0.007423259,0.001357622,0.00184333,0.007621296,0.0006874864,0.002609552,0.002971797,0.002110919,0.3203934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002020471,"about_ca_system_score_gemma":0.002456907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02512064,"about_ca_topic_score_gemma":0.03768896,"domain_scores_codex":[0.9989445,0.0001837788,0.00009405985,0.0003743186,0.0001967078,0.0002066344],"domain_scores_gemma":[0.9974831,0.0008368285,0.0001909538,0.0005949975,0.0005488187,0.0003453472],"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":[0.00004259666,0.000008662938,0.0002054017,0.0004504282,0.0000197108,0.000008577409,0.00001140284,0.000112269,0.00005942772,0.0002747588,0.9979436,0.0008631651],"study_design_scores_gemma":[0.0003933049,0.00002675713,0.001802293,0.0003687163,0.00003316816,0.00004476517,0.00005373322,0.0003606987,0.0003347164,0.001773974,0.9947666,0.00004134909],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004152365,0.00005122144,0.00003374873,0.00005913583,0.00002649923,0.000005127283,0.9986147,0.0005708495,0.000597327],"genre_scores_gemma":[0.0002187031,0.00005181242,0.0001469668,0.00008313148,0.00001049106,0.00004271177,0.9985192,0.0002449702,0.0006820019],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6967126,"threshold_uncertainty_score":0.9937759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02504582881608255,"score_gpt":0.2550366628236864,"score_spread":0.2299908340076039,"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."}}