{"id":"W3048306825","doi":"","title":"Does teaching sequence matter when teaching high school chemistry with scientific visualisations","year":2012,"lang":"en","type":"article","venue":"Griffith Research Online (Griffith University, Queensland, Australia)","topic":"Science Education and Pedagogy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics education; Context (archaeology); Session (web analytics); Conceptual change; Visualization; Class (philosophy); Chemistry education; Concept learning; Teaching method; Psychology; Chemistry; Pedagogy; Computer science; Social psychology","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":[0.004658154,0.000288722,0.0004674837,0.0006677986,0.001018387,0.003871,0.0009470765,0.0007316846,0.002639222],"category_scores_gemma":[0.03858452,0.0003771506,0.000318102,0.0006928199,0.00110047,0.001667436,0.001262575,0.0007529681,0.0003277121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002380739,"about_ca_system_score_gemma":0.005009436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01853962,"about_ca_topic_score_gemma":0.04521719,"domain_scores_codex":[0.996452,0.001267078,0.0001853938,0.0005431906,0.001067448,0.0004849059],"domain_scores_gemma":[0.9700813,0.01972546,0.004825792,0.0008443455,0.001495427,0.003027756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005032723,0.009136924,0.6018776,0.0008120853,0.0003073461,0.0005477745,0.09733568,0.004884807,0.03782522,0.004516138,0.0009919124,0.2367317],"study_design_scores_gemma":[0.0004649494,0.007130534,0.9081501,0.0003286891,0.0004241446,0.0002553556,0.0479508,0.006466253,0.01616542,0.006878054,0.005657399,0.0001282278],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982641,0.00004492235,0.0002427632,0.00004692049,0.000003250941,0.00003365558,0.000008870529,0.000007816957,0.001347715],"genre_scores_gemma":[0.9978119,0.0000991133,0.001290178,0.00002555159,0.000002567474,0.00003558876,0.00003405149,0.000008258578,0.0006928148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01853962,"threshold_uncertainty_score":0.03686339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2280329820523249,"score_gpt":0.4657624556238996,"score_spread":0.2377294735715746,"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."}}