{"id":"W6948339360","doi":"10.5064/f6z31wj1/rp3c08","title":"Johnson_House41_JUSTHR_032ev.pdf","year":2018,"lang":"fr","type":"dataset","venue":"Syracuse University Qualitative Data Repository","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["sts","scholarly_communication","open_science"],"category_scores_codex":[0.007838995,0.001206443,0.00118636,0.00131397,0.002198081,0.006062925,0.03288026,0.0007727051,0.0007624131],"category_scores_gemma":[0.003770389,0.001415756,0.0002884558,0.002276093,0.003121282,0.09751859,0.03337062,0.002201454,0.01443923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001193368,"about_ca_system_score_gemma":0.001830862,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01026126,"about_ca_topic_score_gemma":0.001717708,"domain_scores_codex":[0.9776803,0.0119041,0.001121602,0.004779228,0.002818443,0.001696357],"domain_scores_gemma":[0.9756634,0.004521411,0.002056236,0.01530565,0.001456022,0.0009973187],"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":[0.0002530763,0.0008129824,0.000009555079,0.0007587989,0.001274249,0.005355464,0.00468616,0.000003177481,0.0000511814,0.02849456,0.9579347,0.0003661278],"study_design_scores_gemma":[0.001025023,0.0006342611,0.00006887288,0.0004865481,0.0006879354,0.0001352037,0.01380143,0.0009646013,0.00007033104,0.000101492,0.9805612,0.001463116],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00012189,0.0005808458,0.0333482,0.00287629,0.003935652,0.001172235,0.9446127,0.0002586725,0.01309345],"genre_scores_gemma":[0.00002480304,0.005980282,0.01852384,0.0003360599,0.001080868,0.000003787725,0.8553872,0.00006065825,0.1186025],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1055091,"threshold_uncertainty_score":0.9995916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2441098383744934,"score_gpt":0.4140349938110909,"score_spread":0.1699251554365976,"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."}}