{"id":"W4248692360","doi":"10.13033/isahp.y2003.031","title":"MUDDLED MAGNITUDES","year":2003,"lang":"en","type":"article","venue":"ISAHP proceedings","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004819972,0.001054556,0.0008076044,0.001671524,0.0007925493,0.00250238,0.001227689,0.001049197,0.0553733],"category_scores_gemma":[0.004720156,0.0006152094,0.0005943094,0.0011533,0.001202929,0.003860187,0.004079455,0.001962763,0.01192112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003939926,"about_ca_system_score_gemma":0.0004512631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004616523,"about_ca_topic_score_gemma":0.0005528806,"domain_scores_codex":[0.9990168,0.0001295786,0.00005329816,0.0003059219,0.0004031162,0.00009125448],"domain_scores_gemma":[0.9990355,0.0002033303,0.00006078439,0.0004028198,0.0002287966,0.00006892518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004774116,0.00004834394,0.0005841135,0.0003136177,0.00003825652,0.0001590922,0.0002833549,0.01332545,0.01784356,0.545287,0.01839064,0.4032492],"study_design_scores_gemma":[0.00008517202,0.0002687139,0.001152746,0.0002439457,0.00006663643,0.0008194182,0.0003836623,0.09770706,0.02971282,0.5328385,0.3366013,0.000120173],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01661262,0.0008025257,0.8441976,0.0009051731,0.001643381,0.00008739406,0.0005818693,0.00363073,0.1315387],"genre_scores_gemma":[0.4473368,0.001292129,0.4184481,0.0009400961,0.0006745404,0.0001707901,0.001532941,0.00214236,0.1274622],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0553733,"threshold_uncertainty_score":0.1852421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01359894052660503,"score_gpt":0.2344022009346222,"score_spread":0.2208032604080172,"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."}}