{"id":"W4231536027","doi":"10.4018/9781599049922.ch010","title":"Intersubjective Meaning-Making in Dyads Using Object-Typed Concept Mapping","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Wikis in Education and Collaboration","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université TÉLUQ","funders":"","keywords":"Typology; Meaning (existential); Object (grammar); Negotiation; Context (archaeology); Comprehension; Dyad; Computer science; Task (project management); Concept map; Process (computing); Linguistics; Psychology; Sociology; Artificial intelligence; Social psychology; Programming language; Engineering; Philosophy","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003560093,0.0002767173,0.0003375809,0.0001615247,0.0003103699,0.0001430308,0.0003286992,0.0004556934,0.0003390206],"category_scores_gemma":[0.0001327744,0.0003275628,0.0001072618,0.0001017579,0.000299846,0.0001338541,0.00008169006,0.0003208041,0.00006073849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001746322,"about_ca_system_score_gemma":0.001374717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002192696,"about_ca_topic_score_gemma":0.01014358,"domain_scores_codex":[0.9982805,0.0001174005,0.0003989166,0.0004380202,0.0004052474,0.000359967],"domain_scores_gemma":[0.9989712,0.00005084988,0.000360491,0.0002342139,0.0002883266,0.0000949047],"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":[0.00001866996,0.000008263258,0.00008818463,0.000006186027,0.0000319997,0.00000964659,0.03784639,0.00000424803,0.000009101884,0.9573043,0.000286937,0.00438607],"study_design_scores_gemma":[0.0004683313,0.00006518153,0.0001120374,0.0011386,0.00007476286,0.000006750864,0.0181922,0.00004095462,0.00004436872,0.844907,0.1339806,0.000969163],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.000700752,0.0001733088,0.0004686309,0.00004881692,0.002344806,0.0004556344,0.00001468879,0.0001033027,0.99569],"genre_scores_gemma":[0.9530159,0.00000492176,0.0005575573,0.0004011873,0.0007306664,0.00001201052,0.000002699243,0.00003200246,0.04524302],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9523152,"threshold_uncertainty_score":0.9999176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05288847778935128,"score_gpt":0.3278529190955577,"score_spread":0.2749644413062064,"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."}}