{"id":"W4281904865","doi":"10.1111/bjet.13238","title":"Students' actual purposes when engaging with a computerized simulation in the context of citizen science","year":2022,"lang":"en","type":"article","venue":"British Journal of Educational Technology","topic":"Statistics Education and Methodologies","field":"Mathematics","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Azrieli Foundation; Israel Science Foundation","keywords":"Context (archaeology); Citizen science; Process (computing); Science education; Computer science; Authentic assessment; Field (mathematics); Mathematics education; Data science; Psychology; Pedagogy; Curriculum; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.006241487,0.0007682497,0.0007295061,0.001162831,0.002760223,0.007360901,0.00146726,0.002491969,0.004456465],"category_scores_gemma":[0.01676575,0.0004498734,0.000689242,0.000491411,0.005370583,0.002614975,0.006505983,0.003317092,0.001097333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001675212,"about_ca_system_score_gemma":0.001772373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008178861,"about_ca_topic_score_gemma":0.001424199,"domain_scores_codex":[0.9921193,0.005106247,0.0003148417,0.000676015,0.0008269722,0.0009565934],"domain_scores_gemma":[0.9892225,0.005746859,0.0009173821,0.0007842311,0.001169518,0.002159508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004596644,0.004247292,0.07159401,0.0005107511,0.00006243496,0.002646121,0.8251121,0.003549524,0.03109908,0.01038727,0.002386867,0.04794485],"study_design_scores_gemma":[0.0001111361,0.003914161,0.04131674,0.0008159176,0.0001321016,0.002305823,0.8044882,0.01214878,0.03735504,0.01333843,0.08361812,0.0004555684],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914604,0.00003493298,0.004120685,0.0004064717,0.00001955155,0.00007260426,0.00001718446,0.00005602514,0.003812198],"genre_scores_gemma":[0.9951648,0.00007397326,0.002903017,0.0001063909,0.000003664637,0.0000794138,0.00002501327,0.00002189481,0.001621911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007360901,"threshold_uncertainty_score":0.03300852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08801262241603638,"score_gpt":0.413863420563365,"score_spread":0.3258507981473286,"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."}}