{"id":"W4293580402","doi":"10.1145/3554988","title":"What community asset mapping can teach us about power and design","year":2022,"lang":"en","type":"article","venue":"interactions","topic":"Latin American social science","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nickel Institute","funders":"","keywords":"Citation; Asset (computer security); Power (physics); Library science; Computer science; Management; Operations research; Sociology; World Wide Web; Engineering; Computer security","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":[],"consensus_categories":[],"category_scores_codex":[0.005894563,0.000800933,0.0004686047,0.001823962,0.004885892,0.007807902,0.001132185,0.00243686,0.08309244],"category_scores_gemma":[0.0165348,0.0003567242,0.0006955569,0.002282433,0.006180087,0.01426723,0.00588766,0.003558039,0.01720867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003283267,"about_ca_system_score_gemma":0.004844584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003763198,"about_ca_topic_score_gemma":0.01132982,"domain_scores_codex":[0.99542,0.00308073,0.00007483729,0.0002315604,0.0008415239,0.0003513504],"domain_scores_gemma":[0.9896376,0.005291303,0.0003959586,0.001849483,0.001301018,0.001524681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004551109,0.0004474474,0.003633433,0.0007519216,0.00003232995,0.0001678723,0.03637184,0.0008125649,0.0005809447,0.1353661,0.3586701,0.4631199],"study_design_scores_gemma":[0.00001535637,0.00005287456,0.0009818544,0.0008219061,0.00001583604,0.00008684234,0.01774804,0.0003367841,0.0004852827,0.1036128,0.8758267,0.00001565223],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02132847,0.02060434,0.03851297,0.2791496,0.003312471,0.0001268367,0.0002970971,0.001468099,0.6352002],"genre_scores_gemma":[0.5403079,0.05077821,0.04486815,0.03384676,0.002426923,0.0006134274,0.0007766727,0.002251778,0.3241304],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08309244,"threshold_uncertainty_score":0.2779719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06410755437666524,"score_gpt":0.3748237174865478,"score_spread":0.3107161631098826,"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."}}