{"id":"W4399006033","doi":"10.7910/dvn/u1jec0/rxvydn","title":"gerreplication.tab","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Replication (statistics); Identity (music); Genealogy; Internet privacy; Political science; Computer science; Biology; History; Art; Aesthetics; Virology","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":[],"consensus_categories":[],"category_scores_codex":[0.001483566,0.003560937,0.002067073,0.005440798,0.0009517019,0.004267728,0.004110126,0.003309444,0.2308379],"category_scores_gemma":[0.006586298,0.001120553,0.001850759,0.007593189,0.0008044074,0.003080353,0.002694546,0.002131646,0.2926467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001814979,"about_ca_system_score_gemma":0.002230671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01497181,"about_ca_topic_score_gemma":0.0237629,"domain_scores_codex":[0.9988341,0.0002110558,0.0001102683,0.0004096914,0.0002130153,0.0002218807],"domain_scores_gemma":[0.9972946,0.0006760476,0.0002101802,0.0009677076,0.0005261332,0.0003253494],"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":[0.00003528244,0.00001231835,0.0001948805,0.0004674005,0.00002156507,0.000007576117,0.00001299327,0.0001249141,0.00006875616,0.0003314844,0.9975755,0.00114735],"study_design_scores_gemma":[0.0003522235,0.00003630761,0.001407702,0.0002822282,0.00003218959,0.00005481083,0.00006140412,0.0004510712,0.0005622202,0.00172316,0.9949989,0.00003774163],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007617797,0.0000924277,0.00005505038,0.00008527558,0.00005005635,0.000008304187,0.9975547,0.001225592,0.0008524716],"genre_scores_gemma":[0.0004498462,0.0000785595,0.0002050433,0.00009834277,0.00001936582,0.00004159098,0.9978968,0.0003357072,0.0008746424],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2308379,"threshold_uncertainty_score":0.7722297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02690262237584908,"score_gpt":0.2670244839285987,"score_spread":0.2401218615527496,"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."}}