{"id":"W2737647136","doi":"10.3897/rio.3.e15133","title":"Data Management Plan: HarassMap","year":2017,"lang":"en","type":"article","venue":"Research Ideas and Outcomes","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Social media; Harassment; World Wide Web; Computer science; Download; Internet privacy; Confidentiality; Anonymity; Raw data; Computer security; Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001282245,0.00009074199,0.0001466533,0.00008537373,0.001383915,0.0008828284,0.002706497,0.00002183119,0.00001843105],"category_scores_gemma":[0.0001318674,0.00006569202,0.00002353387,0.00005163048,0.000151524,0.0007372468,0.0068151,0.0001344272,0.0001011086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000155922,"about_ca_system_score_gemma":0.00001747532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004879935,"about_ca_topic_score_gemma":0.0001695024,"domain_scores_codex":[0.9984789,0.00004356406,0.0001259835,0.0004081726,0.0005434973,0.0003998702],"domain_scores_gemma":[0.9973799,0.0001232364,0.00003278737,0.002309357,0.00004840789,0.000106339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00000505113,0.00003238958,0.1510914,0.0000491369,0.0001237548,0.00008595,0.0001165108,4.062535e-7,0.000004626409,0.7336335,0.04300543,0.07185184],"study_design_scores_gemma":[0.0003635796,0.00002636298,0.7124791,0.00002049756,0.000004346236,0.000001865383,0.00006188126,0.0007365955,0.00001624809,0.009007163,0.2771764,0.0001059826],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1074761,0.003862195,0.02709627,0.08541384,0.001534099,0.001870623,0.0001198525,0.0004229109,0.7722042],"genre_scores_gemma":[0.9810481,0.001075821,0.002691673,0.000258922,0.00006589331,0.00001775757,0.000007603542,0.000006352187,0.01482789],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.873572,"threshold_uncertainty_score":0.9999161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2829396589760891,"score_gpt":0.4612279920044464,"score_spread":0.1782883330283572,"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."}}