{"id":"W2808635561","doi":"10.1145/3209635.3209649","title":"Playing to Your Strengths","year":2018,"lang":"en","type":"article","venue":"","topic":"Psychological and Educational Research Studies","field":"Psychology","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Appreciative inquiry; Strengths and weaknesses; Computer science; Qualitative research; Best practice; Mathematics education; Pedagogy; Psychology; Sociology; Management","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":[0.01095024,0.002154517,0.001249089,0.001770899,0.01348784,0.01884842,0.00287684,0.007575237,0.08030125],"category_scores_gemma":[0.04641306,0.000728756,0.001444334,0.000782841,0.008914589,0.01807828,0.01855748,0.0180262,0.05459252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002706668,"about_ca_system_score_gemma":0.007332566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001994684,"about_ca_topic_score_gemma":0.003818811,"domain_scores_codex":[0.9886848,0.004681727,0.0003264311,0.001180012,0.003219719,0.001907211],"domain_scores_gemma":[0.9632948,0.005119912,0.001682628,0.00221033,0.008487275,0.0192051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00007927767,0.0001205797,0.001009871,0.0002648521,0.00003298551,0.0006005807,0.0131296,0.00004921308,0.0007271959,0.02574813,0.8877478,0.07048994],"study_design_scores_gemma":[0.00002388553,0.00007146424,0.000218378,0.0004092112,0.0000191467,0.001291814,0.01507435,0.00006962985,0.0002819006,0.01994076,0.9625476,0.00005188623],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01024828,0.01163487,0.02198577,0.638023,0.08215897,0.0003849473,0.0004082868,0.001823464,0.2333324],"genre_scores_gemma":[0.1066516,0.00983726,0.0360411,0.3814185,0.0167812,0.0009015454,0.0006037954,0.001867764,0.4458973],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08030125,"threshold_uncertainty_score":0.2686344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1630695794531729,"score_gpt":0.5070686515161577,"score_spread":0.3439990720629847,"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."}}