{"id":"W36535302","doi":"10.1111/1742-6723.14147","title":"Technology Affordances: The Case of Wikipedia","year":2012,"lang":"en","type":"article","venue":"Americas Conference on Information Systems","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Concordia University","funders":"","keywords":"Affordance; Conceptualization; Perspective (graphical); Positivism; Computer science; Value (mathematics); Knowledge management; Human–computer interaction; Epistemology; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0004805804,0.0001196511,0.0001845708,0.0002853019,0.0001602293,0.0001639385,0.0007204214,0.00006494636,0.00001112415],"category_scores_gemma":[0.0001290799,0.00008284574,0.00003161614,0.001444791,0.0001841931,0.002298013,0.0001380729,0.0001535857,0.0003595608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003496092,"about_ca_system_score_gemma":0.00008488155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001643984,"about_ca_topic_score_gemma":0.000001776412,"domain_scores_codex":[0.9988322,0.0000602857,0.0005380684,0.00008949801,0.0002198549,0.0002600541],"domain_scores_gemma":[0.9980554,0.0001446558,0.0005846806,0.0007515213,0.0004112658,0.00005250251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001420446,0.00001721808,0.000858206,0.00001582198,0.00001115614,0.000002149888,0.003342187,0.00007498242,0.00001441654,0.9409654,0.0006153401,0.0540817],"study_design_scores_gemma":[0.002124645,0.001358152,0.003707341,0.000628219,0.00006986981,0.01102131,0.1320887,0.1689074,0.003418881,0.008178356,0.6660985,0.002398609],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04324469,0.00006750238,0.9145604,0.001678858,0.001069954,0.0005647726,0.00001558789,0.0003065008,0.03849177],"genre_scores_gemma":[0.9950469,0.000006796743,0.004477944,0.0002719264,0.0000413182,0.00009902139,0.00000369789,0.000003514937,0.00004884602],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9518023,"threshold_uncertainty_score":0.4621546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0321714606115953,"score_gpt":0.285060626001167,"score_spread":0.2528891653895717,"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."}}