{"id":"W2527356824","doi":"10.1287/orsc.2016.1082","title":"A Laughing Matter: Patterns of Laughter and the Effectiveness of Working Dyads","year":2016,"lang":"en","type":"article","venue":"Organization Science","topic":"Communication in Education and Healthcare","field":"Psychology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Laughter; Psychology; Social psychology; Cognitive psychology; Communication","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004015914,0.0002478179,0.0005224118,0.001586027,0.001452276,0.002325227,0.0005220658,0.0006365408,0.002347083],"category_scores_gemma":[0.03226211,0.0003231745,0.0002978704,0.0007282381,0.001312891,0.001571738,0.002754291,0.0008114927,0.0003972014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005747941,"about_ca_system_score_gemma":0.0004451858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001542941,"about_ca_topic_score_gemma":0.002261183,"domain_scores_codex":[0.9953981,0.002731043,0.0004146688,0.0004739821,0.0005451959,0.0004369683],"domain_scores_gemma":[0.9659967,0.01888598,0.008433192,0.002148175,0.001994709,0.002541236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004214655,0.0002172738,0.9329055,0.00008719524,0.0001592775,0.000247394,0.04265324,0.0001489315,0.001994501,0.0002693282,0.0003023879,0.02059354],"study_design_scores_gemma":[0.00001235097,0.0001843907,0.9625814,0.00004160838,0.00003836771,0.0003374133,0.03479072,0.0005126396,0.000315293,0.0005214912,0.0006376436,0.00002657735],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983113,0.0001355969,0.0004074686,0.00008910532,0.00000676608,0.00001158208,0.00002383364,0.000004227871,0.001010181],"genre_scores_gemma":[0.999522,0.00004794596,0.0001897751,0.00001851703,0.000006316039,0.00001879483,0.00003301761,0.000003376598,0.0001602331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004015914,"threshold_uncertainty_score":0.02123839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02865438013784071,"score_gpt":0.3472939515124165,"score_spread":0.3186395713745758,"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."}}