{"id":"W4403858573","doi":"10.1130/abs/2024am-402959","title":"UNDERSTANDING THE PLACE OF VIRTUAL FIELD WORK: HOW TO BEST INTEGRATE IT WITH TRADITIONAL FIELD WORK","year":2024,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Field (mathematics); Work (physics); Computer science; Human–computer interaction; Data science; Engineering; Mechanical engineering; Mathematics","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":[0.005624694,0.0008321457,0.0006499838,0.002712861,0.005057876,0.01680526,0.004299388,0.003034872,0.009806705],"category_scores_gemma":[0.02046199,0.0007180999,0.0006921712,0.002487355,0.01171747,0.02675273,0.008551795,0.002850238,0.001962114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004023372,"about_ca_system_score_gemma":0.009447872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02022951,"about_ca_topic_score_gemma":0.04460008,"domain_scores_codex":[0.9953187,0.00234565,0.0002068992,0.0004796365,0.0009782633,0.0006708297],"domain_scores_gemma":[0.9913105,0.002765616,0.00111138,0.001119529,0.002183303,0.001509763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002165745,0.0004417021,0.04632487,0.001183274,0.00008808349,0.0006242675,0.07927949,0.005757094,0.001733637,0.2070668,0.02746528,0.6298191],"study_design_scores_gemma":[0.00004795132,0.0002422707,0.01884136,0.002932346,0.0001216623,0.0008994029,0.3551506,0.007381547,0.002290688,0.3726719,0.2392277,0.000192664],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1916929,0.01014324,0.4357744,0.142693,0.002542436,0.0003517079,0.0004032612,0.0013008,0.2150984],"genre_scores_gemma":[0.8725774,0.004698088,0.1125617,0.00204342,0.0001603795,0.00014899,0.0001642083,0.0002566852,0.007389153],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02022951,"threshold_uncertainty_score":0.04022354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09403274431210219,"score_gpt":0.2808714034638511,"score_spread":0.1868386591517489,"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."}}