{"id":"W2088253480","doi":"10.1145/2661714.2661721","title":"Towards Storytelling by Extracting Social Information from OSN Photo's Metadata","year":2014,"lang":"en","type":"article","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Timeline; Computer science; Metadata; Popularity; Snapshot (computer storage); World Wide Web; Social media; Storytelling; Event (particle physics); Focus (optics); Information retrieval; Social network (sociolinguistics); Multimedia; Narrative; Database","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005088404,0.00009291193,0.0001401017,0.00006649448,0.0002016796,0.0006689555,0.0007238567,0.00004790114,0.00009515014],"category_scores_gemma":[0.00009841636,0.00008259751,0.00005648556,0.0001976918,0.00001392697,0.004450342,0.0001799001,0.0001100993,0.0001245668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000269494,"about_ca_system_score_gemma":0.00004066724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001351535,"about_ca_topic_score_gemma":0.00001711329,"domain_scores_codex":[0.9990839,0.00005698373,0.0002226201,0.0001940291,0.0002748512,0.0001676247],"domain_scores_gemma":[0.9993284,0.00009320615,0.0001281255,0.000354637,0.00004372357,0.00005186148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002483424,0.00003082581,0.0001253136,0.000005954899,0.00007605526,5.42183e-7,0.002555175,0.00003921607,0.002638473,0.00810669,0.02812049,0.9582988],"study_design_scores_gemma":[0.0002969234,0.00002210781,0.0003742614,0.000009386826,0.00004608235,0.00000110247,0.0004321366,0.5241946,0.0118582,0.0008266971,0.4615912,0.0003472763],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009753436,0.00001906734,0.9795608,0.000414886,0.0001354319,0.00002149533,0.00002798114,0.0001526704,0.009914266],"genre_scores_gemma":[0.8432776,0.000005685233,0.1546443,0.001044223,0.0002018409,0.000003862836,0.0003414997,0.000005574229,0.0004753891],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9579515,"threshold_uncertainty_score":0.6450753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01530149736538641,"score_gpt":0.2329021818966586,"score_spread":0.2176006845312722,"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."}}