{"id":"W2964497869","doi":"10.1130/abs/2019am-332303","title":"MERGING EARTH SCIENCE WITH ENVIRONMENTAL EDUCATION FOR TEACHERS THROUGH INQUIRY, CONSTRUCTIVIST AND PLACE-BASED LEARNING","year":2019,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Educational Environments and Student Outcomes","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Constructivist teaching methods; Mathematics education; Computer science; Earth (classical element); Earth science; Astrobiology; Psychology; Teaching method; Geology; Physics; Astronomy","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003852154,0.0001398944,0.0002033806,0.00001500929,0.0006112973,0.0000697224,0.0001660354,0.00006318117,0.00007273228],"category_scores_gemma":[0.00003329763,0.00009860218,0.00005844089,0.0001665626,0.004935625,0.0002826726,0.00003476557,0.0001743783,0.000003720007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008545985,"about_ca_system_score_gemma":0.0003604764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005312702,"about_ca_topic_score_gemma":0.000009130127,"domain_scores_codex":[0.9985232,0.00004071017,0.000167408,0.0003713541,0.0005324649,0.0003648045],"domain_scores_gemma":[0.9993119,0.0001846846,0.0002599071,0.0001002796,0.0000330068,0.000110226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007088624,0.000685391,0.9178239,0.00002958185,0.00006607018,2.184791e-7,0.02633782,0.001793862,0.0002668552,0.0008641765,0.00003641975,0.05202487],"study_design_scores_gemma":[0.001175162,0.001880781,0.6803775,0.00007703021,0.00005871122,0.000003107271,0.2075732,0.0001716929,0.0001403394,0.0001479976,0.1079699,0.0004245497],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944309,0.00006219542,0.0004657369,0.001556543,0.00005428147,0.0007626108,0.000001163567,0.00003291074,0.002633637],"genre_scores_gemma":[0.927236,0.00004764453,0.07184952,0.0003153735,0.00003988189,0.00006423632,0.00001557632,0.000008072851,0.0004237374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2374463,"threshold_uncertainty_score":0.9977724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01985189918493727,"score_gpt":0.3004614877271746,"score_spread":0.2806095885422373,"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."}}