{"id":"W3024199895","doi":"10.1177/0021886320917189","title":"Supportive Organizational Context for Teams: A Study of Construct Validity","year":2020,"lang":"en","type":"article","venue":"The Journal of Applied Behavioral Science","topic":"Team Dynamics and Performance","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal; Université de Montréal","funders":"Fonds de Recherche du Québec-Société et Culture","keywords":"Construct (python library); Psychology; Context (archaeology); Construct validity; Sample (material); Knowledge management; Organizational effectiveness; Organizational behavior; Social psychology; Computer science; Psychometrics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009387149,0.00008210093,0.0001966446,0.00005111101,0.0001615172,0.00001793445,0.0006173324,0.00002606425,0.0002341741],"category_scores_gemma":[0.00002175751,0.00005274032,0.00003536622,0.0004770336,0.0004594816,0.00009220408,0.00006331065,0.0001635158,0.000006016129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003343397,"about_ca_system_score_gemma":0.0002134488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003252713,"about_ca_topic_score_gemma":0.00001076933,"domain_scores_codex":[0.9988821,0.00002688764,0.0004144635,0.0001178279,0.0003893804,0.0001693588],"domain_scores_gemma":[0.9988339,0.00007267535,0.0005237363,0.0001306742,0.0003384852,0.000100557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006933684,0.006505496,0.3491411,0.00004738857,0.0001822736,0.00003049141,0.3240499,0.0008774541,0.1405381,0.09243234,0.002288329,0.07697345],"study_design_scores_gemma":[0.01190753,0.0236789,0.4724204,0.00004261081,0.001083932,0.000363393,0.4561036,0.001688766,0.02389828,0.006941495,0.0009318927,0.0009393003],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976002,0.00000617285,0.001250588,0.0001880579,0.0002283847,0.0003655277,0.00002426665,0.000005257261,0.0003315497],"genre_scores_gemma":[0.9994458,0.00000115463,0.0003287361,0.0001297229,0.00007579355,0.000003979839,6.856719e-7,0.000006656043,0.000007479237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1320537,"threshold_uncertainty_score":0.2564042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07063208891485569,"score_gpt":0.3610271234592174,"score_spread":0.2903950345443618,"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."}}