{"id":"W2633153788","doi":"10.18260/1-2--8406","title":"The Geotechnical Virtual Laboratory","year":2020,"lang":"en","type":"article","venue":"","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Consolidation (business); Engineering; Session (web analytics); Software; Civil engineering; Curriculum; Computer science; Geotechnical engineering; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004090944,0.00006640218,0.00004825886,0.000005614604,0.00004393343,0.00002509914,0.0001325517,0.00003298512,0.00004171087],"category_scores_gemma":[0.00003851894,0.00004967584,0.00001923688,0.0001013716,0.00002105057,0.00004116186,0.00003046989,0.0001817284,0.0001920587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001968514,"about_ca_system_score_gemma":0.000003524484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.037202e-7,"about_ca_topic_score_gemma":1.635096e-7,"domain_scores_codex":[0.9996403,0.000005845833,0.00008057251,0.00006390487,0.00007949962,0.0001299028],"domain_scores_gemma":[0.9997817,0.00004713504,0.000003503873,0.00009363872,0.000006219719,0.00006785915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003908036,0.000003913963,0.00004564478,0.000009503127,0.00002964447,0.000007501263,0.000260779,0.7908476,0.1730283,0.01585488,0.01675483,0.003153413],"study_design_scores_gemma":[0.00008635298,0.0000378828,0.000113165,0.00000282037,0.000001804032,0.000001006485,0.0001420583,0.4254783,0.04241455,0.000004920823,0.5315883,0.0001288526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5533786,0.005940394,0.2695418,0.006757456,0.002698159,0.0006434242,0.00001144274,0.02181249,0.1392163],"genre_scores_gemma":[0.9988111,0.00002384269,0.000740998,0.0001865076,0.0001090347,0.000008157987,6.091375e-7,0.00002681745,0.00009295626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5148335,"threshold_uncertainty_score":0.246859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004973798379774255,"score_gpt":0.184413072165161,"score_spread":0.1794392737853868,"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."}}