{"id":"W6987339103","doi":"","title":"Standard prompting and reinforcement versus a multiple-component strategy for teaching visual-visual non-identity matching","year":2001,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reinforcement; Task (project management); Test (biology); Matching (statistics); Milestone; Component (thermodynamics); Reinforcement learning; Task analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.002842613,0.001143766,0.0009531571,0.0007180756,0.0002765194,0.0005254313,0.001252225,0.001195083,0.005004713],"category_scores_gemma":[0.01174365,0.0004417659,0.000332524,0.0003313232,0.0005154632,0.001036222,0.0009942325,0.001268408,0.0009608791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005864671,"about_ca_system_score_gemma":0.0008025667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006869779,"about_ca_topic_score_gemma":0.001570097,"domain_scores_codex":[0.9981761,0.000611934,0.0003071667,0.0003901987,0.0003907837,0.0001238416],"domain_scores_gemma":[0.9944031,0.003223219,0.000973263,0.0004506043,0.0002518556,0.0006979175],"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":[0.07063835,0.07774996,0.01198224,0.002507467,0.0003402987,0.0003614431,0.00324522,0.007114217,0.1817078,0.002654033,0.003259947,0.6384391],"study_design_scores_gemma":[0.06180567,0.4419575,0.1301959,0.001056668,0.001734701,0.002621714,0.002302315,0.07778973,0.2487024,0.008281844,0.02299809,0.0005534104],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808334,0.0002407743,0.01482154,0.0001235472,0.0001145493,0.00146625,0.00007503574,0.0004282187,0.001896701],"genre_scores_gemma":[0.9174186,0.0004468734,0.07448568,0.0001723767,0.00007262237,0.00390321,0.0001364389,0.00006786045,0.003296231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005004713,"threshold_uncertainty_score":0.01674241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008462036932671576,"score_gpt":0.220630199937807,"score_spread":0.2121681630051354,"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."}}