{"id":"W2765148210","doi":"10.1002/pra2.2017.14505401102","title":"Connecting people with their communities through proximity‐based digital storytelling","year":2017,"lang":"en","type":"article","venue":"Proceedings of the Association for Information Science and Technology","topic":"Digital Storytelling and Education","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Storytelling; Cultural heritage; Presentation (obstetrics); Reading (process); Pride; Cyberspace; World Wide Web; Digital storytelling; Computer science; Visual arts; Psychology; Multimedia; Narrative; The Internet; History; Art","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001198066,0.00007200649,0.0001264879,0.0001603682,0.003889206,0.0002515886,0.0005270438,0.0001080833,9.640667e-7],"category_scores_gemma":[0.002714869,0.00004806379,0.00001909547,0.0003519027,0.0002237468,0.005354968,0.0001329069,0.000196997,0.000002306186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002092,"about_ca_system_score_gemma":0.000227648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004160719,"about_ca_topic_score_gemma":0.00002960079,"domain_scores_codex":[0.9991598,0.00000271151,0.0002555067,0.00007209092,0.000277313,0.0002325573],"domain_scores_gemma":[0.9961014,0.0001785124,0.001317755,0.0001412225,0.002240799,0.00002029042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004728404,0.00005434552,0.8248316,0.00033298,0.0000285512,2.358932e-9,0.04027983,0.0000309268,0.0002151629,0.1197447,0.0004018268,0.01403278],"study_design_scores_gemma":[0.003975933,0.0008261069,0.06912094,0.001420171,0.0001073626,0.00000548199,0.535221,0.01679772,0.02936567,0.06371164,0.2785812,0.0008667607],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691329,0.000006727319,0.000436234,0.004034543,0.000217744,0.0005608258,0.00001964317,0.00008978433,0.02550158],"genre_scores_gemma":[0.9992908,0.000005003342,0.0004063243,0.0001022047,0.00001956637,0.00007225552,0.00000360052,0.000004256914,0.00009599662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7557107,"threshold_uncertainty_score":0.9974076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03855987214910243,"score_gpt":0.3257164775163575,"score_spread":0.2871566053672551,"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."}}