{"id":"W2587335008","doi":"10.29173/cais427","title":"Task-Based Representation of Moving Images","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Multimodal Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Task (project management); Representation (politics); Computer science; Construct (python library); Congruence (geometry); Artificial intelligence; Computer vision; Image (mathematics); Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0003676828,0.0001860905,0.0003492313,0.0001769611,0.0001009683,0.00127565,0.00255416,0.00008826183,0.0000229242],"category_scores_gemma":[0.01007354,0.0001503218,0.0001432959,0.0006587989,0.0002851357,0.007098847,0.0006131887,0.0002252941,0.000008912536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002971555,"about_ca_system_score_gemma":0.0001622321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001812329,"about_ca_topic_score_gemma":0.000003037398,"domain_scores_codex":[0.9983808,0.0000332034,0.0005072118,0.0003522308,0.0004559103,0.0002706091],"domain_scores_gemma":[0.9693804,0.0002642762,0.001023502,0.0004086079,0.02883048,0.00009272274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003167278,0.0002772841,0.4745791,0.0004182517,0.0000742566,3.250002e-7,0.01556225,0.0003855082,0.4435514,0.0351721,0.00249695,0.0274509],"study_design_scores_gemma":[0.0004907291,0.0001542681,0.6766968,0.0001990823,0.00003406962,0.000006901214,0.0004819676,0.05411211,0.2580944,0.008514196,0.0009596816,0.0002558479],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844321,0.00003122307,0.005529655,0.004763522,0.00005615517,0.0004505264,0.00002753754,0.00007852513,0.004630728],"genre_scores_gemma":[0.981567,0.000008010914,0.01807047,0.0001165861,0.00002842184,0.00006956088,0.000002322993,0.0000137037,0.0001239502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2021177,"threshold_uncertainty_score":0.9997611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01778663194423156,"score_gpt":0.2627378118163914,"score_spread":0.2449511798721598,"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."}}