{"id":"W2245570560","doi":"","title":"The orchestrated collaborative classroom: Designing and making sense of heterogeneous ecologies of teaching and learning resources","year":2015,"lang":"en","type":"article","venue":"Computer Supported Collaborative Learning","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Collaborative learning; Human–computer interaction; Multimedia; Knowledge 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":[0.005700715,0.0007727079,0.0005335934,0.001581959,0.002635217,0.0101053,0.002714535,0.001696716,0.003174638],"category_scores_gemma":[0.01208021,0.0009488098,0.0007144871,0.001115577,0.007697902,0.01359747,0.009942641,0.001383778,0.001019855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008539163,"about_ca_system_score_gemma":0.003297471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002262259,"about_ca_topic_score_gemma":0.003193454,"domain_scores_codex":[0.9953341,0.00284329,0.0001983027,0.0008404455,0.0005029279,0.0002809904],"domain_scores_gemma":[0.9951479,0.002532197,0.0002691615,0.001245837,0.0002674275,0.0005375777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002438873,0.0003642444,0.008436261,0.001251471,0.0002324314,0.001393262,0.1280699,0.01593539,0.04206711,0.2335235,0.007908089,0.5605746],"study_design_scores_gemma":[0.0002756024,0.0006375344,0.005154997,0.001021041,0.0003552056,0.001556058,0.06209731,0.09476604,0.01910887,0.4689701,0.3457355,0.0003216191],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05723361,0.0007517904,0.9244836,0.001393003,0.0001180441,0.0002724366,0.0000512138,0.001252513,0.01444373],"genre_scores_gemma":[0.2840579,0.0006601032,0.7100956,0.0002541874,0.00003212621,0.0004917398,0.0001378696,0.0004362153,0.003834143],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0101053,"threshold_uncertainty_score":0.03014868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.040630290599279,"score_gpt":0.3450545827381498,"score_spread":0.3044242921388708,"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."}}