{"id":"W6894122192","doi":"10.5683/sp3/r2wlth","title":"Competence, Resilience, and Adaptability With and Without Learning Augmentation (CRAWWLA) - final report","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Normative; Plan (archaeology); Adaptability; Focus group; Focus (optics); Fatalism; Experiential learning","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006242643,0.0009622657,0.001203247,0.005032514,0.001552925,0.004114968,0.002742435,0.001239578,0.08493987],"category_scores_gemma":[0.02798547,0.0008118709,0.002438263,0.007601965,0.0006049007,0.002598202,0.005417236,0.002538184,0.02812081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002693161,"about_ca_system_score_gemma":0.006075492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06892145,"about_ca_topic_score_gemma":0.15764,"domain_scores_codex":[0.9971456,0.0009856275,0.0005093848,0.0004028509,0.0005857584,0.0003708346],"domain_scores_gemma":[0.9845316,0.005660982,0.001302515,0.002195461,0.005421188,0.0008881832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002776801,0.00007140535,0.01425688,0.007233234,0.0002625377,0.00005295905,0.001138314,0.000230201,0.0001270116,0.002617331,0.9547935,0.01893897],"study_design_scores_gemma":[0.0004087186,0.00008277404,0.09335337,0.007851042,0.0003087929,0.00009050914,0.004690723,0.000220147,0.0003432148,0.002044217,0.8905081,0.00009836777],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00181989,0.0003840273,0.0002571889,0.0003591159,0.00006717164,0.000242215,0.9935756,0.0001434779,0.003151259],"genre_scores_gemma":[0.006435528,0.0004866552,0.002165983,0.0002788471,0.00002215527,0.004228786,0.9805657,0.0001822973,0.005634046],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08493987,"threshold_uncertainty_score":0.2841522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02639298557121738,"score_gpt":0.2922025293475524,"score_spread":0.265809543776335,"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."}}