{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001630616,0.00007282428,0.0001223975,0.0001735754,0.0001600565,0.0002352501,0.0002041102,0.00002266206,0.00003030662],"category_scores_gemma":[0.00002132702,0.00006720745,0.00004315691,0.0006480882,0.00007208548,0.0004240296,0.0001024463,0.00002455161,0.00006670784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008635239,"about_ca_system_score_gemma":0.000009517955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000506573,"about_ca_topic_score_gemma":0.0000380956,"domain_scores_codex":[0.9993532,0.00001955002,0.0001551913,0.0002467117,0.0001065257,0.0001188528],"domain_scores_gemma":[0.9994527,0.0000271777,0.00006041186,0.0002163199,0.0001870908,0.00005627744],"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":[0.00001234406,0.0002923008,0.004104157,0.00009514835,0.0006577052,0.00001270851,0.00140763,0.0001620121,0.01576221,0.611934,0.325973,0.03958679],"study_design_scores_gemma":[0.0004624562,0.0001556057,0.01141197,0.000004794288,0.0001223211,0.000002212539,0.000006670192,0.949513,0.0005397464,0.00652711,0.03109566,0.0001584826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002957062,0.00001081477,0.994494,0.001010064,0.00005233493,0.00007482128,0.00001046816,0.00007993128,0.001310512],"genre_scores_gemma":[0.9161258,0.000003696641,0.07948852,0.002664081,0.000151274,0.00000593233,0.0001525562,0.000008639884,0.001399483],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.949351,"threshold_uncertainty_score":0.274064,"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."}}