{"id":"W7038080191","doi":"","title":"Gender similarities and differences in managing conflicts","year":2001,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Education Methods and Technologies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Perspective (graphical); Qualitative research; Set (abstract data type)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001893174,0.0001198401,0.0001971585,0.001125437,0.002822558,0.002637326,0.0005125881,0.000475985,0.009952846],"category_scores_gemma":[0.0112729,0.0001413274,0.0001198237,0.001063881,0.001784474,0.001188189,0.001274929,0.0006145522,0.0004725654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003395129,"about_ca_system_score_gemma":0.003442986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09171748,"about_ca_topic_score_gemma":0.1745445,"domain_scores_codex":[0.9988115,0.0004024764,0.00004756728,0.00007520508,0.0003581221,0.0003052037],"domain_scores_gemma":[0.9965849,0.001328072,0.0005037066,0.0001208867,0.000634381,0.0008279571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0009276287,0.0005997651,0.3655024,0.0001563408,0.00006723739,0.001318841,0.377619,0.0007520588,0.002019546,0.05582144,0.01010019,0.1851156],"study_design_scores_gemma":[0.00004711452,0.0001590564,0.5374033,0.0001874248,0.00002854966,0.0006225215,0.411797,0.0005722013,0.0005267366,0.01626857,0.03235207,0.00003545416],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9083154,0.0009495565,0.0005417623,0.001147873,0.00006204275,0.00003638235,0.00008020847,0.000006580529,0.08886026],"genre_scores_gemma":[0.9924783,0.0002858349,0.0001699847,0.0000879457,0.000006467234,0.00001091525,0.00002796512,0.000006707464,0.006925882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09171748,"threshold_uncertainty_score":0.1823673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01835989363352173,"score_gpt":0.215141802822156,"score_spread":0.1967819091886343,"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."}}