{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005665438,0.001207471,0.0004423498,0.007475588,0.0006506494,0.001511539,0.0008071701,0.0008370736,0.002087372],"category_scores_gemma":[0.003425402,0.0003019655,0.0008180984,0.003588803,0.0003916919,0.003583116,0.001481386,0.0007368241,0.001952004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004725201,"about_ca_system_score_gemma":0.0004503049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003730325,"about_ca_topic_score_gemma":0.009976282,"domain_scores_codex":[0.9992181,0.0002012078,0.00007359681,0.000213819,0.000227948,0.00006519594],"domain_scores_gemma":[0.9985704,0.0006044946,0.0002372893,0.0002171723,0.0002676327,0.0001030782],"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":[0.0004272989,0.000351893,0.03125267,0.001281258,0.0001583892,0.001888614,0.006325472,0.005324979,0.02304463,0.008487277,0.02665316,0.8948042],"study_design_scores_gemma":[0.00005903115,0.0004933458,0.07007121,0.0007774494,0.000452948,0.004665817,0.02252383,0.5085204,0.06502426,0.03383629,0.2933629,0.0002126057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2465688,0.004071954,0.6793497,0.001455823,0.000287127,0.001499791,0.03324994,0.007518803,0.02599816],"genre_scores_gemma":[0.3738485,0.001873457,0.5758339,0.0001729736,0.0001915246,0.0006425258,0.04036061,0.0002367935,0.006839672],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007475588,"threshold_uncertainty_score":0.007417202,"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."}}