{"id":"W4387012664","doi":"10.18438/eblip30423","title":"Evidence Summary Theme: Data Creation, Access, and Services","year":2023,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Computer science; Theme (computing); World Wide Web; Data science; Data access; Internet privacy; Database","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.09306303,0.001452744,0.004065719,0.02111778,0.002361704,0.01255501,0.002940432,0.006974006,0.01932452],"category_scores_gemma":[0.3790821,0.001148762,0.00569274,0.02118438,0.002631417,0.01026718,0.007581348,0.008963503,0.003402344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009444035,"about_ca_system_score_gemma":0.02710346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004393656,"about_ca_topic_score_gemma":0.006901001,"domain_scores_codex":[0.872539,0.06024388,0.03626237,0.003480752,0.02538859,0.002085392],"domain_scores_gemma":[0.6808811,0.2160049,0.03152608,0.007465777,0.06014384,0.00397825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005809571,0.00006765055,0.001944278,0.4064443,0.001506885,0.0002239234,0.005201893,0.0003004282,0.0004384996,0.03123144,0.2761631,0.2758966],"study_design_scores_gemma":[0.000189254,0.00017303,0.002308729,0.4939894,0.001977813,0.0002503637,0.003506973,0.00011717,0.0003730821,0.008577827,0.4884792,0.00005711526],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001962633,0.6890993,0.01271711,0.2182547,0.03164469,0.00878475,0.01383582,0.0001965695,0.02350457],"genre_scores_gemma":[0.03858165,0.7768583,0.05586224,0.07392687,0.01071979,0.02796725,0.008877399,0.0002764459,0.006929957],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.987445,"threshold_uncertainty_score":0.4921703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1197890088644034,"score_gpt":0.3773897177431202,"score_spread":0.2576007088787168,"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."}}