{"id":"W2202781397","doi":"10.5617/nordina.538","title":"Global Climate Exchange: Peer collaboration in a “Global classroom”","year":2014,"lang":"en","type":"article","venue":"Nordic Studies in Science Education","topic":"Wikis in Education and Collaboration","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Universitetet i Oslo; University of Toronto; Nanjing Normal University","keywords":"China; Constructive; Psychology; Information exchange; Global warming; Curriculum; Political science; Global climate; Conceptual framework; Public relations; Pedagogy; Climate change; Sociology; Computer science; Ecology; Social science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.004018927,0.0003812343,0.0004407613,0.0008742869,0.003182697,0.004732576,0.0007024907,0.0007752011,0.004585516],"category_scores_gemma":[0.01073224,0.0001603283,0.0002838847,0.0006555801,0.00233009,0.003057693,0.008733128,0.0009296639,0.0004246153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008183592,"about_ca_system_score_gemma":0.002339658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00123116,"about_ca_topic_score_gemma":0.002747278,"domain_scores_codex":[0.9923833,0.005011754,0.0001919184,0.0006472623,0.0009873708,0.0007784941],"domain_scores_gemma":[0.9909128,0.003968529,0.001286061,0.0008243037,0.0007545848,0.002253749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003996864,0.002579097,0.2336237,0.0008653306,0.0001747797,0.001846997,0.4985836,0.0006984263,0.006677794,0.01385126,0.003680139,0.2370192],"study_design_scores_gemma":[0.0001088741,0.001995248,0.1865036,0.0005187793,0.0002105621,0.002152927,0.7004524,0.001206633,0.005784231,0.01180102,0.08913383,0.0001319559],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9701816,0.0004237251,0.002722035,0.0004328469,0.0001045261,0.000088556,0.00002727333,0.00003059585,0.02598877],"genre_scores_gemma":[0.9975433,0.0001830561,0.0008428728,0.00005048971,0.00002066517,0.00003351615,0.00002046292,0.000007458023,0.00129814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004732576,"threshold_uncertainty_score":0.02125442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03540005660903447,"score_gpt":0.4519169657361459,"score_spread":0.4165169091271115,"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."}}