{"id":"W2554618266","doi":"10.1109/ipcc.2016.7740478","title":"Folk classification of social media platforms: Preliminary findings","year":2016,"lang":"en","type":"article","venue":"","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University","funders":"","keywords":"Card sorting; Social media; sort; Sorting; Computer science; Perception; Similarity (geometry); Session (web analytics); Identification (biology); Data science; Psychology; World Wide Web; Information retrieval; Artificial intelligence; Engineering; Ecology","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":[0.005506341,0.0003172631,0.0003493858,0.00364721,0.002523985,0.003727948,0.0009170666,0.0008333705,0.007066682],"category_scores_gemma":[0.02737871,0.0002927741,0.0003359769,0.002949428,0.002092127,0.003222919,0.002163369,0.0009393678,0.00112987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001457811,"about_ca_system_score_gemma":0.00107564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009064897,"about_ca_topic_score_gemma":0.01278275,"domain_scores_codex":[0.9971981,0.001150829,0.0002549586,0.0004468803,0.0006515322,0.0002976657],"domain_scores_gemma":[0.972946,0.0173177,0.002879244,0.001169982,0.004868445,0.0008187311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003360025,0.0004387118,0.717528,0.000474439,0.00003948939,0.0004357386,0.193456,0.0001970824,0.005096332,0.002905126,0.001079096,0.07801404],"study_design_scores_gemma":[0.000007210244,0.0002482737,0.6657627,0.0001301392,0.00002109546,0.0002595181,0.3239663,0.001193629,0.001091246,0.001580682,0.005713965,0.00002529689],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875222,0.0001256417,0.001218073,0.0003897658,0.00001323926,0.0001855947,0.0003231571,0.00001452104,0.01020794],"genre_scores_gemma":[0.9951292,0.0001496054,0.001631801,0.0001735461,0.00001828336,0.0001694707,0.0002523461,0.00001633059,0.002459426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009064897,"threshold_uncertainty_score":0.02912062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03713730205696103,"score_gpt":0.2938713324307662,"score_spread":0.2567340303738052,"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."}}