{"id":"W7061073958","doi":"","title":"Overland to Starvation Cove: With the Inuit in Search of Franklin, 1878-1880","year":2023,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Starvation; Predation; Ectotherm; Population; Habitat","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002635859,0.0002836834,0.0002052569,0.0007586986,0.0123212,0.002262837,0.000598099,0.001215913,0.02146816],"category_scores_gemma":[0.001185606,0.0002368187,0.0001222099,0.0008733115,0.004831209,0.001667331,0.002375967,0.001864528,0.002129847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005099436,"about_ca_system_score_gemma":0.003600936,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2727194,"about_ca_topic_score_gemma":0.7116324,"domain_scores_codex":[0.9996979,0.0000653063,0.000006637367,0.00006583382,0.00007020067,0.00009413323],"domain_scores_gemma":[0.9998816,0.00001918884,0.00001596807,0.000007822317,0.00003623341,0.00003909666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004276807,0.00008273651,0.01451097,0.0003011705,0.0000374044,0.005603997,0.2590513,0.0002388863,0.002986846,0.369143,0.1872387,0.1603772],"study_design_scores_gemma":[0.000004101114,0.00002482649,0.007443826,0.0001456948,0.000007503356,0.0006319604,0.0343126,0.00004820072,0.000504507,0.004640502,0.9522188,0.00001742298],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2151149,0.008465097,0.001857444,0.02377249,0.002462575,0.00006887052,0.0007502776,0.000166009,0.7473423],"genre_scores_gemma":[0.6190574,0.001428149,0.001193576,0.001751376,0.0002836434,0.0000252273,0.0001674603,0.0001382704,0.3759549],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7272806,"threshold_uncertainty_score":0.542264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01412943390157161,"score_gpt":0.2164905976063017,"score_spread":0.2023611637047301,"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."}}