{"id":"W2094087038","doi":"10.1002/meet.2011.14504801207","title":"Avoiding determinism: New research into the discovery of information","year":2011,"lang":"en","type":"article","venue":"Proceedings of the American Society for Information Science and Technology","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Determinism; Computer science; Realm; Von Neumann architecture; Information system; Epistemology; Information science; Technological determinism; Information quality; Data science; Predictability; Information theory; Cognitive science; Psychology; Mathematics","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.00220619,0.00007183809,0.0001190207,0.0003670799,0.00069571,0.0002218836,0.001056043,0.00003909128,0.000001583591],"category_scores_gemma":[0.001437768,0.00004220355,0.00005610976,0.004163252,0.003121549,0.0121489,0.0006743194,0.0001765516,0.000004450688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002437009,"about_ca_system_score_gemma":0.0001040244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004106766,"about_ca_topic_score_gemma":0.00000231803,"domain_scores_codex":[0.9989409,8.30838e-7,0.0003057084,0.0000852893,0.0004416544,0.0002256315],"domain_scores_gemma":[0.9974597,0.00003999552,0.0006815297,0.0001295985,0.001681938,0.000007230738],"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":[0.00005650985,0.00002101937,0.01229241,0.0004091469,0.00002031978,5.321628e-9,0.01048728,6.807757e-7,0.01090062,0.5572678,0.007360389,0.4011838],"study_design_scores_gemma":[0.00072239,0.000245395,0.02625088,0.0003467974,0.0001092464,0.0000176404,0.3136705,0.00832088,0.2490043,0.1748524,0.2258805,0.0005790734],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910405,0.00001622999,0.001541241,0.002770154,0.00008883441,0.0003799178,0.000002734021,0.00003862919,0.004121711],"genre_scores_gemma":[0.9975468,0.00005395967,0.001741296,0.0005887302,0.00003096313,0.00002163223,0.000001058149,0.000002295101,0.00001325623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4006047,"threshold_uncertainty_score":0.9995914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07737029665561272,"score_gpt":0.3193855617186446,"score_spread":0.2420152650630319,"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."}}