{"id":"W6929683002","doi":"10.5061/dryad.k3j9kd5dv","title":"Simulated data and code from: Socio-economic predictors of Inuit hunting choices and their implications for climate change adaptation","year":2023,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Fetal and Pediatric Neurological Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subsistence agriculture; Foraging; Climate change; Fishing; Cash; Effects of global warming; Baseline (sea); Adaptation (eye)","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":[0.002149918,0.0005264016,0.0003826693,0.0006956119,0.0005158505,0.0007962267,0.001864499,0.001093227,0.02024733],"category_scores_gemma":[0.009734394,0.0004126207,0.001089353,0.001197455,0.0004890656,0.0005997796,0.000848924,0.001334956,0.00552944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008599386,"about_ca_system_score_gemma":0.001133506,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06581543,"about_ca_topic_score_gemma":0.09299775,"domain_scores_codex":[0.9994943,0.0002224967,0.00003222499,0.0001105097,0.00009314834,0.00004732979],"domain_scores_gemma":[0.99672,0.002013693,0.000193214,0.0004544808,0.0004628258,0.0001558012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007670404,0.0004907333,0.1284835,0.0008682724,0.0006855238,0.0004602071,0.001358987,0.5407522,0.002470385,0.0175082,0.2750529,0.03110186],"study_design_scores_gemma":[0.0004456023,0.000191659,0.079751,0.0001975349,0.0001296276,0.0002140008,0.000413439,0.8128112,0.001677738,0.01540323,0.08857642,0.0001886085],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.5398078,0.0003502313,0.04086043,0.00247732,0.0006628149,0.0004406568,0.387931,0.01187964,0.01559024],"genre_scores_gemma":[0.6158906,0.0002458985,0.04934852,0.0004699116,0.0001042354,0.0009686237,0.3224656,0.003476116,0.007030488],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.9341846,"threshold_uncertainty_score":0.1308647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1637235484618856,"score_gpt":0.3641100626586042,"score_spread":0.2003865141967186,"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."}}