{"id":"W4386593905","doi":"10.20944/preprints202309.0731.v1","title":"Systems Theory and Intercultural Communication: Methods for Heuristic Model Design","year":2023,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Epistemology; Intercultural communication; Field (mathematics); Context (archaeology); Semiotics; Heuristic; Abstraction; Function (biology); Set (abstract data type); Ambiguity; Object (grammar); Cognitive science; Computer science; Discipline; Sociology; Psychology; Artificial intelligence; Social science; Communication; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.03870138,0.002988569,0.00271355,0.006497709,0.001933536,0.007228947,0.004739492,0.003762094,0.008206852],"category_scores_gemma":[0.09680148,0.001734526,0.003896281,0.005925811,0.008547417,0.006746757,0.005806454,0.007165733,0.001457586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0041171,"about_ca_system_score_gemma":0.00609117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003163789,"about_ca_topic_score_gemma":0.003208117,"domain_scores_codex":[0.9572915,0.03643667,0.001629384,0.001711212,0.002566783,0.000364396],"domain_scores_gemma":[0.8663937,0.1172186,0.003475551,0.008891583,0.003344532,0.0006761699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008177853,0.0001879109,0.001097797,0.001059351,0.0003379423,0.0001924478,0.002383148,0.07683236,0.0004522017,0.8313564,0.002913749,0.08310494],"study_design_scores_gemma":[0.00009204431,0.00005959928,0.0001449692,0.0004011298,0.00004727671,0.00006891151,0.0006949025,0.1199913,0.0003451578,0.8628609,0.01524609,0.00004786873],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005931368,0.0002664538,0.9969918,0.0003271324,0.00004167852,0.0002430515,0.00005845666,0.00009095528,0.001387282],"genre_scores_gemma":[0.02284826,0.0004321111,0.9732386,0.0001319944,0.00004913208,0.002555964,0.0001583479,0.00008805928,0.000497491],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03870138,"threshold_uncertainty_score":0.204675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4888772804268719,"score_gpt":0.4605002095299495,"score_spread":0.02837707089692243,"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."}}