{"id":"W2139148590","doi":"10.5539/hes.v4n1p94","title":"Validating One-On-One GPS Instruction Methodology for Natural Resource Area Assessments Using Forestry Undergraduate Students","year":2014,"lang":"en","type":"article","venue":"Higher Education Studies","topic":"Diverse Educational Innovations Studies","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Global Positioning System; Bachelor; Mean squared error; Unit (ring theory); Assisted GPS; Geography; Computer science; Statistics; Psychology; Mathematics education; Mathematics; Archaeology; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005264085,0.00019586,0.0002892758,0.00006360659,0.0008208963,0.00009367208,0.0002259099,0.00006508183,0.00003628474],"category_scores_gemma":[0.0002786168,0.0001052551,0.00007008699,0.0004997278,0.0001117893,0.0001877126,0.0001323052,0.0001241417,0.00001226749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002089257,"about_ca_system_score_gemma":0.00003163404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000553176,"about_ca_topic_score_gemma":0.00002353649,"domain_scores_codex":[0.9984035,0.0002083902,0.0003521948,0.0004055466,0.0003701591,0.0002602488],"domain_scores_gemma":[0.9976158,0.001213221,0.0003166196,0.00009331419,0.0007195674,0.00004148673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002396178,0.003418565,0.376138,0.0002638012,0.002494435,2.535734e-7,0.00133208,0.0002796647,0.04706976,0.4331211,0.04683899,0.08880374],"study_design_scores_gemma":[0.000564676,0.0002924643,0.8735865,0.0002076803,0.0001955607,0.000002713998,0.01285953,0.00004068848,0.001107908,0.04359494,0.06702818,0.0005191347],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905538,0.0002902225,0.00007013149,0.005017819,0.00273761,0.0003438899,0.00001421863,0.00006421952,0.0009081184],"genre_scores_gemma":[0.9793835,0.0000349971,0.01526744,0.00102438,0.001140098,0.0002133035,0.0001215997,0.000003539539,0.002811092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4974485,"threshold_uncertainty_score":0.6313754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3768269883091994,"score_gpt":0.4552318311723466,"score_spread":0.07840484286314714,"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."}}