{"id":"W314130420","doi":"10.5408/jge_nov2008_lambert_383","title":"SATELLITES: Students and Teachers Exploring Local Landscapes to Interpret the Earth from Space","year":2008,"lang":"en","type":"article","venue":"Journal of Geoscience Education","topic":"Geography Education and Pedagogy","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Youngstown State University; Ohio Space Grant Consortium; U.S. Department of Labor","keywords":"Curriculum; Mathematics education; Geospatial analysis; Data collection; Sociology; Psychology; Geography; Pedagogy; Remote sensing; Social science","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":[0.0004539966,0.0004238664,0.0002309236,0.0004643518,0.001396998,0.001445123,0.0006309968,0.0005668152,0.01135695],"category_scores_gemma":[0.0007407237,0.0002653226,0.0002537571,0.0003660795,0.001083812,0.0006728359,0.001957282,0.000890181,0.002895321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004803526,"about_ca_system_score_gemma":0.002053302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00300731,"about_ca_topic_score_gemma":0.01777748,"domain_scores_codex":[0.9997312,0.00007924302,0.000007988232,0.00004586111,0.00005807941,0.00007765875],"domain_scores_gemma":[0.9993151,0.00006924786,0.00005820276,0.00004551835,0.00005083589,0.0004610002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007152206,0.01117813,0.08191325,0.000574643,0.00003519872,0.000845362,0.06387802,0.001878203,0.02010938,0.007244217,0.2010103,0.610618],"study_design_scores_gemma":[0.0004487103,0.003326305,0.1092546,0.0003396852,0.00003945468,0.000742099,0.08195016,0.001786184,0.007984268,0.007467669,0.7865989,0.00006202541],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9092762,0.0003457502,0.005684019,0.002672003,0.0002059502,0.0008075835,0.001055891,0.001064656,0.07888789],"genre_scores_gemma":[0.8430605,0.001577049,0.03280276,0.0008650937,0.0001063698,0.001443202,0.001699841,0.0001819019,0.1182633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01135695,"threshold_uncertainty_score":0.03799278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06540620471052516,"score_gpt":0.3664635424961379,"score_spread":0.3010573377856127,"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."}}