{"id":"W6948433869","doi":"10.5064/f6buax58/iiboei","title":"Burke_EDI_NENA.search_selection.2017.09.24.ods","year":2018,"lang":"en","type":"dataset","venue":"Syracuse University Qualitative Data Repository","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Selection (genetic algorithm); Identifier; Data source; Workbook; Search engine; State (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":[0.003593901,0.001354443,0.002452242,0.01225546,0.001744828,0.006734296,0.003489254,0.001433711,0.530224],"category_scores_gemma":[0.04130372,0.001161722,0.001144809,0.02204201,0.0006012405,0.003371171,0.003999708,0.001563555,0.4809558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003811893,"about_ca_system_score_gemma":0.009098329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02069776,"about_ca_topic_score_gemma":0.02961328,"domain_scores_codex":[0.9963005,0.0007789143,0.0009584616,0.0006804348,0.0008772122,0.0004044424],"domain_scores_gemma":[0.985458,0.004300811,0.001433783,0.002788288,0.005052786,0.0009663047],"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":[0.00004500059,0.000007190747,0.0002131815,0.001899879,0.00001414555,0.000009583088,0.0000475999,0.00002997597,0.00003586241,0.000738724,0.9911407,0.005818277],"study_design_scores_gemma":[0.0001085114,0.000008675362,0.000835787,0.001265013,0.00001457504,0.00002247635,0.00009996891,0.0000543266,0.0001242335,0.0006455177,0.9968047,0.00001621522],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007943058,0.0001998845,0.0001680273,0.0002100978,0.00005454615,0.0001857783,0.9881641,0.0004339402,0.01050429],"genre_scores_gemma":[0.001030257,0.0006160295,0.001585016,0.0003449794,0.00004906558,0.003476018,0.971635,0.0007986496,0.02046497],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.469776,"threshold_uncertainty_score":0.6700785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1947835569073118,"score_gpt":0.424485702311795,"score_spread":0.2297021454044832,"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."}}