{"id":"W4404814189","doi":"10.3828/hgr.2024.34","title":"Growing up North","year":2024,"lang":"en","type":"article","venue":"Hunter Gatherer Research","topic":"Diverse Educational Innovations Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Geography","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004176237,0.00005814051,0.00005255017,0.000037997,0.0002631501,0.0002199169,0.0002061792,0.00002381954,0.002430607],"category_scores_gemma":[0.0000600765,0.00002077891,0.00003967036,0.0009791275,0.00008545307,0.0002134468,0.0001349672,0.0002014353,0.00205284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004368986,"about_ca_system_score_gemma":0.00001694221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002281672,"about_ca_topic_score_gemma":0.0002593753,"domain_scores_codex":[0.999018,0.00005802228,0.00009234593,0.0002179642,0.0003597443,0.0002539852],"domain_scores_gemma":[0.9994289,0.0002961105,0.000005640209,0.00004153939,0.0001903608,0.00003750632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002469192,0.0001966808,0.07083067,0.00006225532,0.0001458773,0.0000431077,0.003014735,0.000002720912,0.04577324,0.09929407,0.4504683,0.3301436],"study_design_scores_gemma":[0.00002439838,0.00005771353,0.1326859,0.00004509303,0.000002304678,0.000003383989,0.003032128,0.00004457398,0.0004525623,0.001803413,0.8617525,0.0000959428],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9668362,0.0003828467,0.000001265342,0.007764925,0.0003799067,0.00009825629,0.00001464853,0.00007527122,0.02444673],"genre_scores_gemma":[0.9808701,0.00003001475,0.00002027505,0.000143895,0.0005094896,0.00004164755,0.00002401617,9.1861e-7,0.01835969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4112842,"threshold_uncertainty_score":0.9987242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2352302632574402,"score_gpt":0.3946674663058319,"score_spread":0.1594372030483917,"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."}}