{"id":"W4386647927","doi":"10.3133/cir1510","title":"Colorado River Basin Actionable and Strategic Integrated Science and Technology (ASIST) pilot project progress toward an information management and technology plan","year":2023,"lang":"en","type":"article","venue":"U.S. Geological Survey circular/U.S. Geological Survey Circular","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Esri (Canada)","funders":"","keywords":"Plan (archaeology); Engineering; Environmental planning; Environmental resource management; Engineering management; Environmental science; Geography; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0186419,0.0007358842,0.0009224492,0.002683645,0.001166024,0.002814936,0.00342907,0.0006848648,0.00003169527],"category_scores_gemma":[0.005215084,0.0005907175,0.00004797819,0.01261233,0.005707178,0.01027333,0.005282548,0.001141211,0.00007702281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002398592,"about_ca_system_score_gemma":0.0003775161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002095866,"about_ca_topic_score_gemma":0.0002418158,"domain_scores_codex":[0.9902543,0.00266366,0.0009509877,0.002517753,0.001679668,0.001933566],"domain_scores_gemma":[0.9951481,0.000864188,0.0004600633,0.001581816,0.001414586,0.0005312557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001715517,0.0004803989,0.8997539,0.0002065063,0.0001966569,0.0005118,0.00006751058,0.00004276665,0.0002093129,0.08375514,0.000175756,0.01442873],"study_design_scores_gemma":[0.001219309,0.001575513,0.9655269,0.00002945381,0.00003432685,0.0001958245,0.0003683812,0.01100959,0.0000603291,0.01462654,0.004555397,0.0007984086],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798857,0.0006896069,0.01085266,0.003498392,0.0001977961,0.002662913,0.0001377407,0.001537855,0.0005373231],"genre_scores_gemma":[0.99251,0.002088853,0.003820329,0.0002795343,0.00001781474,0.0004237839,0.0007691061,0.00002181454,0.00006877022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0691286,"threshold_uncertainty_score":0.9996544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1293508597116853,"score_gpt":0.3240330867355726,"score_spread":0.1946822270238873,"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."}}