{"id":"W1508834217","doi":"","title":"Factors Affecting Pre-service Mathematics Teachers’ Lesson Planning with Learning Objects Supporting Higher Level Thinking","year":2004,"lang":"en","type":"article","venue":"Society for Information Technology & Teacher Education International Conference","topic":"Educational Assessment and Pedagogy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Mathematics education; Psychology; Computer science; Pedagogy","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":[0.001188563,0.0001812991,0.0001927366,0.0007336662,0.0009005522,0.001593113,0.0005308034,0.0005276687,0.006662766],"category_scores_gemma":[0.01968829,0.0003218499,0.0003646973,0.0006317903,0.000546397,0.0005228369,0.0006766462,0.0008075713,0.0007387953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009886147,"about_ca_system_score_gemma":0.002734893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01273473,"about_ca_topic_score_gemma":0.01793126,"domain_scores_codex":[0.9988733,0.0002891752,0.0001405569,0.00009576862,0.0003222868,0.0002788417],"domain_scores_gemma":[0.9791518,0.01055184,0.004485855,0.0004423957,0.002261195,0.00310692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001218145,0.001858181,0.9513956,0.0001136798,0.00004066691,0.0008387408,0.01209976,0.0002787578,0.006501087,0.0002506215,0.0004326865,0.02497211],"study_design_scores_gemma":[0.0000315912,0.0007609024,0.9774883,0.00003480491,0.00004451557,0.0004623992,0.01763805,0.0004011746,0.001864,0.0001311078,0.001123711,0.00001954555],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990109,0.00002287195,0.00007763442,0.00003400648,0.00000203103,0.00001757401,0.00001096708,0.000005469115,0.0008185671],"genre_scores_gemma":[0.998893,0.00003055197,0.0003455512,0.00001010228,0.000001792347,0.0000132345,0.00002584582,0.000004468728,0.0006754713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01273473,"threshold_uncertainty_score":0.02532125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09158219047127127,"score_gpt":0.4073185661477173,"score_spread":0.315736375676446,"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."}}