{"id":"W6947880591","doi":"10.3886/icpsr37452.v1","title":"Using Gatekeeper Training as a CVE Tool: Replication and Evaluation of a Gatekeeper Program in Prince George's County, Maryland, United States, 2019","year":2020,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gatekeeping; Replication (statistics); Qualitative research; Exploratory research; Program evaluation; Confidentiality","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01441853,0.0005792119,0.0004910397,0.001219995,0.001635094,0.001018599,0.002041792,0.0007482151,0.002212308],"category_scores_gemma":[0.02284585,0.0005003194,0.0008654316,0.001503134,0.0008627907,0.001088278,0.001180317,0.001229072,0.0007806735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003642036,"about_ca_system_score_gemma":0.0088006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0824241,"about_ca_topic_score_gemma":0.1373318,"domain_scores_codex":[0.9940104,0.003889338,0.0003484125,0.000500547,0.0007724645,0.0004788512],"domain_scores_gemma":[0.9873032,0.003998839,0.001069374,0.002310559,0.004206314,0.001111687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01064299,0.07148644,0.3072981,0.004216706,0.0008583936,0.001096845,0.03650224,0.007627717,0.005948542,0.002247423,0.06786813,0.4842066],"study_design_scores_gemma":[0.006910626,0.03253525,0.8040134,0.001586978,0.000755298,0.0002199399,0.04461488,0.006373827,0.009340853,0.0009594972,0.09242197,0.0002673894],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9694151,0.0001540737,0.001884114,0.0005221128,0.0001335678,0.01275623,0.01008952,0.000292472,0.004752789],"genre_scores_gemma":[0.9087062,0.0004389803,0.02530118,0.0007339561,0.00006497048,0.0391787,0.02077495,0.0001237695,0.004677244],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.0824241,"threshold_uncertainty_score":0.1638887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.149917981150489,"score_gpt":0.3461147732024102,"score_spread":0.1961967920519213,"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."}}