{"id":"W4400991489","doi":"10.69554/pznq6985","title":"So you are stuck in a silo? How the University of Calgary Prospect Research and Prospect Management team is helping to solve the challenges of silos one report at a time","year":2024,"lang":"en","type":"article","venue":"Journal of education advancement & marketing.","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Information silo; Silo; Prospect theory; Operations research; Engineering management; Engineering; Management science; Engineering ethics; Business; Operations management; Mechanical engineering","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":[0.003986741,0.00007643081,0.0001888117,0.0001896352,0.000171308,0.00003679281,0.0002042507,0.00002307546,0.0004249633],"category_scores_gemma":[0.0002352466,0.00004636378,0.00006088729,0.0003758222,0.00009969945,0.00009410011,0.00005811066,0.0001916607,0.000009339054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003967804,"about_ca_system_score_gemma":0.0000970402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000116836,"about_ca_topic_score_gemma":0.0002945974,"domain_scores_codex":[0.9987007,0.0001703034,0.0002871095,0.000202978,0.0004783239,0.0001606355],"domain_scores_gemma":[0.9989954,0.0002832175,0.0002622537,0.0001730603,0.000227697,0.00005832795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001897215,0.001262946,0.5546857,0.001833935,0.0008120044,0.0001815423,0.01457521,0.00571003,0.0005518876,0.0004594432,0.01391751,0.4041126],"study_design_scores_gemma":[0.0003770488,0.0006791928,0.9173322,0.00229396,0.0001612983,0.00007204178,0.03140865,0.0103704,0.00009545824,0.002037039,0.03496779,0.0002049225],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9292333,0.0149064,0.0001295187,0.05096284,0.0001357625,0.0005213527,0.000005499777,0.000005769821,0.004099587],"genre_scores_gemma":[0.9917622,0.003854085,0.001237126,0.00005309827,0.00006088459,0.000001198527,0.000002451013,0.000002230534,0.003026749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4039077,"threshold_uncertainty_score":0.465305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04051975348473939,"score_gpt":0.2795839885297234,"score_spread":0.2390642350449841,"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."}}