{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002732541,0.0005434329,0.0004017146,0.0009266634,0.005260468,0.002863422,0.0007481421,0.001043724,0.2639818],"category_scores_gemma":[0.0005612599,0.0002323323,0.0003076947,0.001218825,0.001123518,0.001996897,0.002776434,0.001916403,0.08876906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001749052,"about_ca_system_score_gemma":0.002217926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02089788,"about_ca_topic_score_gemma":0.07352177,"domain_scores_codex":[0.9996862,0.00003260023,0.00001242064,0.0001068978,0.00006717401,0.00009462039],"domain_scores_gemma":[0.9997602,0.00002337381,0.00001537275,0.00003395043,0.00008151722,0.00008552534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002517345,0.0001181355,0.005274282,0.0005423864,0.00002155705,0.002763165,0.01852984,0.0001353149,0.005181579,0.1803684,0.391323,0.3954907],"study_design_scores_gemma":[0.000002119027,0.000007945097,0.001338865,0.00004400218,0.000001690954,0.0001642697,0.001647957,0.00001031539,0.000089913,0.0009945113,0.9956955,0.000002866567],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01297522,0.002909901,0.001170731,0.006008684,0.001689142,0.00006171597,0.0007739076,0.0002933989,0.9741174],"genre_scores_gemma":[0.04471418,0.001926083,0.001253777,0.001852192,0.0001977408,0.00004535731,0.000647514,0.0002756616,0.9490874],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2639818,"threshold_uncertainty_score":0.8831072,"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."}}