{"id":"W2590362366","doi":"","title":"‘She of the Loghouse Nest’: gendering historical ecological reconstructions in Northern Ontario","year":2016,"lang":"en","type":"article","venue":"Historical geography","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nipissing University","funders":"","keywords":"Geography; Ecology; Nest (protein structural motif); Ornithology; Habitat; Natural history; Historical ecology; Census; Natural (archaeology); Archaeology; Ethnology; History; Sociology; Population; Demography","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001086979,0.0002559986,0.000335112,0.002225275,0.0144802,0.003532259,0.00124511,0.0006678397,0.004813452],"category_scores_gemma":[0.00211336,0.000394604,0.0002037667,0.004068335,0.007268246,0.001818218,0.002775494,0.001082648,0.0002725192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06596466,"about_ca_system_score_gemma":0.02616202,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9790454,"about_ca_topic_score_gemma":0.9968727,"domain_scores_codex":[0.999117,0.0001647901,0.00002288608,0.0001498501,0.0002037881,0.0003417831],"domain_scores_gemma":[0.9984357,0.0003238255,0.0002943621,0.0001028953,0.0004501574,0.0003931382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008364257,0.00001222796,0.03992817,0.0000997609,0.00001337838,0.001633357,0.9243163,0.00009757046,0.0009096419,0.008494695,0.00442812,0.01998308],"study_design_scores_gemma":[0.000003024409,0.00001774101,0.1843783,0.000169217,0.0000175281,0.0004109862,0.6305302,0.0001328341,0.0003571563,0.0009139731,0.1830305,0.00003853133],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9306434,0.001929692,0.0007433989,0.002989842,0.00007931251,0.00003670332,0.0008698747,0.00002624229,0.06268153],"genre_scores_gemma":[0.9820208,0.0009546706,0.000437711,0.0001740911,0.0000111532,0.00002017101,0.0002561101,0.00003484267,0.01609051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9855198,"threshold_uncertainty_score":0.4786094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01831458280305951,"score_gpt":0.1926752493892613,"score_spread":0.1743606665862018,"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."}}