{"id":"W3107053578","doi":"","title":"MODELLING WAVES: INTEGRATING TECHNOLOGY WITH MODELLING AND INQUIRY IN AN UNDERGRADUATE PHYSICS EXPERIMENT","year":2020,"lang":"en","type":"article","venue":"Proceedings of The Australian Conference on Science and Mathematics Education","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics education; Class (philosophy); Teamwork; TUTOR; Psychology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008860883,0.0007540833,0.0009082421,0.0006061294,0.00173173,0.003969901,0.00190974,0.00190885,0.003226148],"category_scores_gemma":[0.02299133,0.0006752644,0.0007569924,0.0006059512,0.003397321,0.002905164,0.004996205,0.002848088,0.0008215805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001320971,"about_ca_system_score_gemma":0.001757575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007123367,"about_ca_topic_score_gemma":0.0008786333,"domain_scores_codex":[0.9918857,0.004542885,0.0005440802,0.0009063779,0.001445745,0.0006753021],"domain_scores_gemma":[0.9863617,0.008228083,0.000845388,0.001620125,0.001025569,0.001919035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005568072,0.09239865,0.07785083,0.002838089,0.0002388917,0.002961556,0.3006953,0.02171296,0.1522513,0.02865171,0.006986171,0.3078465],"study_design_scores_gemma":[0.005084432,0.1628638,0.1453442,0.001659702,0.0008221715,0.003750618,0.1425876,0.08735298,0.1915919,0.07273842,0.1848743,0.001329885],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980229,0.00005141655,0.01461271,0.0003891831,0.0000419408,0.0009835113,0.000064405,0.0001069545,0.003520712],"genre_scores_gemma":[0.9481434,0.0001867089,0.04562181,0.0004479197,0.00005128931,0.00214437,0.0001635062,0.0000620154,0.003178919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008860883,"threshold_uncertainty_score":0.04686141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06888339688599796,"score_gpt":0.2957860420436575,"score_spread":0.2269026451576595,"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."}}