{"id":"W2590535100","doi":"10.14430/arctic4623","title":"Hunter-Gatherer Variability: Developing Models for the Northern Coasts","year":2017,"lang":"en","type":"article","venue":"ARCTIC","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hunter-gatherer; Territoriality; Foraging; Geography; Normative; Range (aeronautics); Variation (astronomy); Ecology; Archaeology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001104211,0.00009304538,0.0001708256,0.00001087508,0.01279716,0.00001536648,0.0003353657,0.00009278909,0.00009249282],"category_scores_gemma":[0.0005817318,0.00005909061,0.00005597468,0.00001559887,0.00007974952,0.0000765982,0.0003141249,0.0002122877,0.000179163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002148785,"about_ca_system_score_gemma":0.0002876599,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01150761,"about_ca_topic_score_gemma":0.2168276,"domain_scores_codex":[0.9987574,0.00009899944,0.0002206863,0.0001811342,0.00006406882,0.0006777538],"domain_scores_gemma":[0.9977806,0.001161138,0.0001753677,0.0005783766,0.0002730637,0.00003141529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001085298,0.00006830128,0.8586097,0.0004665873,0.000314403,0.000002804424,0.08899254,0.0002701768,0.000008062567,0.04111444,0.0009292726,0.009115139],"study_design_scores_gemma":[0.003304242,0.0003011998,0.5600626,0.0003325193,0.0002631889,0.000006613877,0.03825909,0.02160475,0.000008382937,0.2002201,0.1749019,0.000735439],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8410909,0.0001914154,0.05359789,0.05510926,0.005472287,0.005437435,0.00003840623,0.0001237917,0.03893861],"genre_scores_gemma":[0.9945379,0.0000421446,0.000623573,0.002050181,0.0003310919,0.0005218777,0.000002269797,0.00002065027,0.001870255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2985471,"threshold_uncertainty_score":0.9950749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1086146902514855,"score_gpt":0.4019479504751636,"score_spread":0.2933332602236781,"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."}}