{"id":"W4405930020","doi":"10.14742/ajet.9122","title":"Investigating the effect of emotional tone on learners’ reading engagement and peer acknowledgement in social annotation","year":2024,"lang":"en","type":"article","venue":"Australasian Journal of Educational Technology","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Acknowledgement; Reading (process); Annotation; Psychology; Tone (literature); Computer science; Multimedia; Political science; Linguistics","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":[0.004024123,0.0001064461,0.0001805141,0.0007259295,0.0001268024,0.00002137845,0.0001439321,0.0001142079,0.0002879469],"category_scores_gemma":[0.001503135,0.00007727294,0.00004756776,0.0006050752,0.0002502715,0.00005908071,0.00002258811,0.001101165,0.00001599715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009790347,"about_ca_system_score_gemma":0.0000917944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003868567,"about_ca_topic_score_gemma":6.991668e-7,"domain_scores_codex":[0.9982681,0.0008086367,0.0004147325,0.000149197,0.0002075949,0.0001517336],"domain_scores_gemma":[0.9985282,0.0009902696,0.0002416163,0.00007776632,0.0001414771,0.000020717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00007677361,0.000165347,0.1700394,0.0001205793,0.0003323121,0.00001178369,0.02256198,0.0001490361,0.007638288,0.6779665,0.0146792,0.1062588],"study_design_scores_gemma":[0.001198932,0.002601647,0.9243255,0.0008563081,0.00009747715,0.0002810669,0.0115402,0.00006428866,0.002888302,0.04739391,0.008522788,0.0002295537],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9511508,0.0001395233,0.0002010968,0.044678,0.0008357067,0.000102849,0.000001554337,0.00001160266,0.002878916],"genre_scores_gemma":[0.9966285,0.000001683279,0.00171422,0.00003658127,0.0003874418,0.00001245487,0.000004410894,0.00001136264,0.001203349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7542862,"threshold_uncertainty_score":0.4784077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05076170166785809,"score_gpt":0.435549243375259,"score_spread":0.3847875417074009,"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."}}