{"id":"W2166373070","doi":"10.24908/pceea.v0i0.3711","title":"THE DESIGN OF A COLLABORATION RUBRIC FROM ITS VALUE SYSTEM","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Social Capital and Networks","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Rubric; Context (archaeology); Value (mathematics); Computer science; Psychology; Mathematics education","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.03011991,0.001343923,0.000972555,0.006849011,0.002724339,0.006287998,0.002614257,0.001704134,0.008126338],"category_scores_gemma":[0.07108869,0.0009627586,0.00113055,0.004029363,0.003305593,0.007646565,0.005403662,0.002811169,0.003717586],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003293089,"about_ca_system_score_gemma":0.00612028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002947047,"about_ca_topic_score_gemma":0.003271639,"domain_scores_codex":[0.9634953,0.0214446,0.004019836,0.002097357,0.008025697,0.0009173393],"domain_scores_gemma":[0.9397381,0.01671389,0.003520265,0.006831767,0.03077234,0.002423614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004820907,0.000498108,0.00481687,0.002883521,0.00007774845,0.0004917296,0.02368259,0.008564091,0.0234521,0.1653302,0.03576955,0.7339514],"study_design_scores_gemma":[0.0002794586,0.001841697,0.01208184,0.002172918,0.0001571136,0.001673429,0.01420898,0.07562452,0.03613507,0.088914,0.7661929,0.0007180732],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01379765,0.0002901817,0.9459835,0.001123537,0.0003509041,0.004344146,0.0003402685,0.0065324,0.02723748],"genre_scores_gemma":[0.0459462,0.0001395217,0.942678,0.0002535,0.0000738388,0.003446548,0.0007300915,0.0009047766,0.005827393],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9967069,"threshold_uncertainty_score":0.1592912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01476489391611725,"score_gpt":0.2104748606664106,"score_spread":0.1957099667502934,"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."}}