{"id":"W3031666947","doi":"10.82308/46946","title":"Public verification of private effort","year":2016,"lang":"en","type":"preprint","venue":"Open MIND","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Polling; Anonymity; Computer science; Contrast (vision); Population; Identity (music); Private information retrieval; Computer security; Internet privacy; Sociology; Artificial intelligence; Computer network","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":[0.01885092,0.001327526,0.002020234,0.001986308,0.003849014,0.008809415,0.004675654,0.004192828,0.02032224],"category_scores_gemma":[0.08122937,0.001512369,0.00241117,0.001993525,0.007868531,0.01772586,0.0145127,0.006024903,0.005171064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005032356,"about_ca_system_score_gemma":0.008627755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003876915,"about_ca_topic_score_gemma":0.002511113,"domain_scores_codex":[0.9603665,0.01305436,0.002537213,0.007891438,0.01179162,0.004358831],"domain_scores_gemma":[0.8683167,0.05052367,0.005671374,0.06172013,0.01173464,0.002033465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009819715,0.00021997,0.003786513,0.0004868939,0.0001246836,0.0004978995,0.002425866,0.01552168,0.007214866,0.8439222,0.009263634,0.1155538],"study_design_scores_gemma":[0.0003751518,0.0004124001,0.001680987,0.0003549063,0.0002194816,0.0005492845,0.0007760209,0.1411301,0.03666371,0.7220144,0.09562036,0.0002031676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03395918,0.000403903,0.9219754,0.003073701,0.0005760049,0.0007519444,0.0009319118,0.006697637,0.03163038],"genre_scores_gemma":[0.7636694,0.0004301796,0.1847546,0.001284527,0.0005385455,0.001438274,0.001465873,0.001879142,0.04453929],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02032224,"threshold_uncertainty_score":0.09969437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1301610019060272,"score_gpt":0.3306145471169571,"score_spread":0.2004535452109299,"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."}}