{"id":"W2905269564","doi":"10.1609/aimag.v39i4.2825","title":"Human Computation for Image and Video Analysis (GroupSight)","year":2018,"lang":"en","type":"article","venue":"AI Magazine","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crowdsourcing; Computation; Computer science; Data science; Image (mathematics); Artificial intelligence; Multimedia; World Wide Web; Algorithm","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":[0.01131732,0.001550357,0.001196663,0.001959481,0.00282339,0.008289767,0.002567664,0.002306489,0.03642692],"category_scores_gemma":[0.008799377,0.0008963422,0.001447966,0.001321567,0.00372885,0.003573523,0.00787008,0.004501785,0.01084404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006109647,"about_ca_system_score_gemma":0.008649091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05137598,"about_ca_topic_score_gemma":0.06243645,"domain_scores_codex":[0.9951693,0.001536416,0.0000895944,0.001077571,0.001197366,0.0009296564],"domain_scores_gemma":[0.991042,0.002180096,0.000104526,0.0011446,0.003360893,0.002167794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007728473,0.0002094938,0.0009105872,0.000356553,0.00006757149,0.0002815712,0.00231683,0.004454977,0.01653787,0.0470307,0.6047057,0.3223553],"study_design_scores_gemma":[0.0001673946,0.0002171813,0.002656442,0.0002261098,0.00004012071,0.0002316092,0.001871297,0.02356509,0.02107238,0.05539786,0.8944212,0.0001332905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02381145,0.01067647,0.8227085,0.05369024,0.01035088,0.001704357,0.004817795,0.006879626,0.06536073],"genre_scores_gemma":[0.1969425,0.00716969,0.4389433,0.006381813,0.003776663,0.001572021,0.00722737,0.004666327,0.3333203],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05137598,"threshold_uncertainty_score":0.1218602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02022637091902564,"score_gpt":0.3341159250796323,"score_spread":0.3138895541606067,"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."}}