{"id":"W3116562683","doi":"10.1111/phpr.12741","title":"Channels for Common Ground","year":2020,"lang":"en","type":"article","venue":"Philosophy and Phenomenological Research","topic":"Language, Discourse, Communication Strategies","field":"Arts and Humanities","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitetet i Oslo; University of Toronto; University of Pittsburgh","keywords":"Common ground; Utterance; Categorization; Affect (linguistics); Feature (linguistics); Epistemology; Linguistics; Computer science; Psychology; Social psychology; Artificial intelligence; Philosophy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004473916,0.0001170898,0.0002021878,0.00005928363,0.0007354483,0.0003727097,0.0004264529,0.00005513352,0.0008638648],"category_scores_gemma":[0.0001512943,0.00008528509,0.00004747241,0.00007090829,0.0009709077,0.0001818012,0.0002595009,0.0003766627,0.00009901656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001553812,"about_ca_system_score_gemma":0.00002113312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003744593,"about_ca_topic_score_gemma":0.00001228171,"domain_scores_codex":[0.9987614,0.0001886933,0.0001792159,0.0002716158,0.0002478066,0.0003512318],"domain_scores_gemma":[0.998786,0.0006322488,0.00003447475,0.0002284206,0.0001581249,0.0001607165],"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":[0.0001053472,0.00006827221,0.00001036974,0.00004661475,0.00002302583,0.000002430601,0.02102468,0.000001224212,0.00001615209,0.9757536,0.000713938,0.002234331],"study_design_scores_gemma":[0.0003207026,0.0006255684,0.00001137525,0.000008650139,0.000005086689,5.504943e-7,0.009264789,0.00009762334,0.000006491372,0.8299248,0.1596186,0.0001157803],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02400916,0.002393582,0.00005258475,0.06878022,0.00008471472,0.0006209023,0.00008152502,0.0001208845,0.9038565],"genre_scores_gemma":[0.9966876,0.0001960233,0.00008820502,0.00110216,0.001266281,0.0001523207,0.00003454689,0.00001344828,0.0004594122],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9726784,"threshold_uncertainty_score":0.9458714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5694667926386003,"score_gpt":0.4271399031174218,"score_spread":0.1423268895211786,"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."}}