{"id":"W2522856279","doi":"10.3390/philosophies1020153","title":"Laws of Media, Their Environments and Their Users: The Flip of the Artifact, Its Ground and Its Users","year":2016,"lang":"en","type":"article","venue":"Philosophies","topic":"Media, Communication, and Education","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Obsolescence; Artifact (error); Computer science; Law; Political science; Business; 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":[0.0005906015,0.00008938864,0.0001261505,0.00003371469,0.0003491399,0.00001743255,0.0003828822,0.00005185352,0.00003943586],"category_scores_gemma":[0.0003797335,0.00004004921,0.00003473112,0.0001154068,0.0008562783,0.0002427562,0.0001004628,0.00005891971,0.000004900693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001897739,"about_ca_system_score_gemma":0.00004331255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000172809,"about_ca_topic_score_gemma":0.0005601467,"domain_scores_codex":[0.9990919,0.0002862535,0.000177011,0.0001161521,0.000195065,0.0001336416],"domain_scores_gemma":[0.9985638,0.000850061,0.0001672794,0.0003282778,0.0000363503,0.00005427373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005191363,0.0002263803,0.05053635,0.00007577377,0.0001626488,8.849107e-8,0.7415165,0.000001514633,0.028457,0.1572261,0.0004494081,0.02129626],"study_design_scores_gemma":[0.000915181,0.00009949897,0.3825983,0.0003686265,0.00009638266,0.000002357138,0.0715868,0.00002259757,0.05582977,0.4511735,0.03686679,0.0004401352],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681209,0.002311783,0.000003124534,0.02757403,0.0002040504,0.0002119096,0.0000180116,0.000007427462,0.001548723],"genre_scores_gemma":[0.9908988,0.008614566,0.000009109463,0.000111029,0.0001922424,0.00001458276,0.000001212095,0.000006656166,0.0001517724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6699297,"threshold_uncertainty_score":0.3154993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0771936128105283,"score_gpt":0.2819215217226876,"score_spread":0.2047279089121593,"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."}}