{"id":"W2247691621","doi":"","title":"Dynamic and Collaborative Learning with GeoGebra: From Software to Community","year":2010,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Moncton; University of Windsor","funders":"","keywords":"Computer science; Software","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":[0.001653556,0.0004260032,0.0004189157,0.00128005,0.001810631,0.005713874,0.001634803,0.001626907,0.01247375],"category_scores_gemma":[0.006147585,0.0003977874,0.0005244181,0.001286256,0.004455111,0.01207469,0.008980678,0.001447398,0.001979087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008585271,"about_ca_system_score_gemma":0.001802004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002413246,"about_ca_topic_score_gemma":0.002834487,"domain_scores_codex":[0.9986722,0.000642282,0.00005748268,0.000217516,0.0003022267,0.0001082197],"domain_scores_gemma":[0.9963868,0.00158796,0.0001383298,0.001146504,0.0002535018,0.0004868941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001588458,0.0002488601,0.001843117,0.0001690629,0.00002371486,0.0001588009,0.006745947,0.007190092,0.002854852,0.7238129,0.007457661,0.2493362],"study_design_scores_gemma":[0.00009296991,0.0001876823,0.0008604828,0.000146881,0.00004248074,0.0003842635,0.003671323,0.04649875,0.005853571,0.758789,0.1834142,0.00005847963],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06229724,0.000948079,0.869529,0.003428303,0.0002264792,0.0001058276,0.0001230494,0.006262083,0.05708001],"genre_scores_gemma":[0.7024809,0.0006743741,0.2734995,0.0003523962,0.000110108,0.0001808781,0.000278236,0.0007341774,0.02168948],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01247375,"threshold_uncertainty_score":0.04172891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01194480523966383,"score_gpt":0.2568276507061953,"score_spread":0.2448828454665315,"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."}}