{"id":"W3109009690","doi":"10.17351/ests2020.459","title":"Social Dynamics of Expectations and Expertise: AI in Digital Humanitarian Innovation","year":2020,"lang":"en","type":"article","venue":"Engaging Science Technology and Society","topic":"Education, Healthcare and Sociology Research","field":"Psychology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Université de Sherbrooke","funders":"Mitacs; Canada Research Chairs","keywords":"Vision; Negotiation; Performative utterance; Dynamics (music); Sociology; Boundary object; Social innovation; Realization (probability); Epistemology; Reflexivity; Public relations; Political science; Knowledge management; Social science; Computer science","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":[0.0004650588,0.00006056785,0.000117137,0.000301869,0.0006181349,0.00002214474,0.0001533827,0.0001802841,0.00001087159],"category_scores_gemma":[0.0002687869,0.00006444888,0.000014354,0.002241133,0.002538322,0.0002040198,0.00006991233,0.0005004895,0.000001593948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005303429,"about_ca_system_score_gemma":0.0001430926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002292409,"about_ca_topic_score_gemma":0.00001100674,"domain_scores_codex":[0.9991971,0.00003145407,0.0001866358,0.0002680467,0.00009131087,0.0002254804],"domain_scores_gemma":[0.9996365,0.00006697682,0.00005255701,0.00008172942,0.0001321469,0.00003014423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000003038165,0.00003655957,0.1651188,0.000012951,0.000008482231,7.941447e-7,0.2413135,1.237765e-7,0.0005959635,0.5765005,0.0002371678,0.01617211],"study_design_scores_gemma":[0.0005620914,0.0001609141,0.2062852,0.00001275131,0.00000461951,0.000008558552,0.7517238,0.001516496,0.0001370541,0.03928556,0.0001263437,0.0001765719],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9636251,0.0001990439,0.0004813448,0.03476375,0.00005469592,0.00009657333,0.000003252262,0.00004993783,0.0007262628],"genre_scores_gemma":[0.999185,0.00001001811,0.0002033511,0.0004952786,0.00003105967,0.00002203115,0.000006151399,0.000004240263,0.00004287102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.537215,"threshold_uncertainty_score":0.9352554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05975473557389118,"score_gpt":0.4263929054313248,"score_spread":0.3666381698574336,"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."}}