{"id":"W4388084739","doi":"10.1177/00113921231203179","title":"Social media and social impact assessment: Evolving methods in a shifting context","year":2023,"lang":"en","type":"article","venue":"Current Sociology","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Dalhousie University","funders":"Social Sciences and Humanities Research Council of Canada; China Scholarship Council","keywords":"Sociology; Social media; Context (archaeology); Social science; Public relations; Political science; Computer science; World Wide Web; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001090803,0.0002294189,0.0003931447,0.00007803239,0.0004739478,0.00003188367,0.0001908223,0.000211645,0.0009959934],"category_scores_gemma":[0.0001052958,0.000216833,0.0001315035,0.0002592271,0.0008243994,0.000253198,0.000477747,0.0005040335,0.0001735847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006541969,"about_ca_system_score_gemma":0.00002637205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001052953,"about_ca_topic_score_gemma":0.00006844188,"domain_scores_codex":[0.9977526,0.0006334354,0.0003261722,0.0003953427,0.0002276789,0.0006647735],"domain_scores_gemma":[0.9991779,0.0004998188,0.0001446453,0.00007734398,0.00000378251,0.00009652664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009071854,0.0001157966,0.8083538,0.00001775991,0.00003186383,0.000008165059,0.06518771,0.000008227945,0.003407356,0.0007921763,0.002666375,0.1194017],"study_design_scores_gemma":[0.0006137522,0.00002975802,0.9825693,0.000006924219,0.00001546708,0.000001210371,0.005019897,0.0005455874,0.00001441643,0.01048042,0.0004736858,0.0002296161],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970096,0.0001310352,0.0001806177,0.000736433,0.0003954417,0.0001776434,0.00001597216,0.00007876935,0.001274436],"genre_scores_gemma":[0.9989796,0.00007192481,0.0004661989,0.0001124434,0.0002207139,0.00004044887,0.00005877949,0.00002398763,0.00002587107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1742155,"threshold_uncertainty_score":0.9999172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08171950002607917,"score_gpt":0.4724218668680575,"score_spread":0.3907023668419783,"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."}}