{"id":"W4312820677","doi":"10.1145/3555858.3555909","title":"Automatic Interactive Documentation for Emergent Story Discovery","year":2022,"lang":"en","type":"article","venue":"","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Fonds de Recherche du Québec-Société et Culture","keywords":"Documentation; Computer science; Data science; World Wide Web; Programming language","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002317936,0.00004582141,0.00006582117,0.00008226619,0.0002446581,0.0001173871,0.0002299497,0.000005548879,0.0003627077],"category_scores_gemma":[0.00001807145,0.00004168601,0.00006789847,0.0001937746,0.000003749558,0.001022411,0.0001519801,0.00004094928,0.000006899869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001074788,"about_ca_system_score_gemma":0.00002997493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002225503,"about_ca_topic_score_gemma":0.00001284603,"domain_scores_codex":[0.9993781,0.00007870572,0.0001223164,0.0001660881,0.000175183,0.00007959279],"domain_scores_gemma":[0.9996637,0.00006115763,0.00007005793,0.0001594436,0.00002732156,0.00001838552],"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":[0.0000289199,0.0004961065,0.001767137,0.00004395844,0.0003133166,0.000004409511,0.009020128,0.02411425,0.004351064,0.4880087,0.09247865,0.3793734],"study_design_scores_gemma":[0.0001922469,0.00009380266,0.0009953773,0.000001453345,0.00001319367,8.67201e-7,0.0006848198,0.9845129,0.0004988982,0.003783074,0.009132086,0.00009131195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01885817,0.00001670178,0.9786632,0.001298049,0.0004038143,0.0001535355,0.000002534407,0.00005818993,0.0005458003],"genre_scores_gemma":[0.9840627,0.000002319611,0.0114453,0.0005287793,0.00002015722,0.0001647748,0.00003280415,0.000003641955,0.003739506],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9672179,"threshold_uncertainty_score":0.3971395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0103593104409891,"score_gpt":0.2674520180742217,"score_spread":0.2570927076332326,"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."}}