{"id":"W4317438411","doi":"10.1111/aman.13813","title":"Fire, ice, and flood","year":2023,"lang":"en","type":"article","venue":"American Anthropologist","topic":"Geographies of human-animal interactions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Citation; Library science; Art history; World Wide Web; History; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0005216709,0.00007933957,0.0001033527,0.001101163,0.001587735,0.001531271,0.0001757297,0.0005907574,0.007099352],"category_scores_gemma":[0.002520473,0.0001328942,0.000127894,0.001597038,0.001431451,0.001009309,0.0003801278,0.0006673418,0.0002002736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005602038,"about_ca_system_score_gemma":0.0007674401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0394594,"about_ca_topic_score_gemma":0.1290079,"domain_scores_codex":[0.9998523,0.0000860297,0.000008841753,0.00001011129,0.00002013386,0.00002259234],"domain_scores_gemma":[0.998681,0.0007080998,0.0002910222,0.00004269022,0.00007464509,0.0002025205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002457301,0.0002670682,0.7899077,0.0002033009,0.0001464416,0.0006179566,0.01947651,0.0004876321,0.0001778465,0.02175381,0.05897861,0.1077375],"study_design_scores_gemma":[0.00001857361,0.00006714673,0.8057063,0.0002175631,0.00006967568,0.0003719431,0.08574682,0.0001944566,0.00007705491,0.006795346,0.100717,0.00001805175],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7787933,0.02707902,0.0003242265,0.06508908,0.001552717,0.00001985166,0.001142421,0.00002149555,0.1259779],"genre_scores_gemma":[0.9816641,0.01160291,0.00008971183,0.00123967,0.0008508744,0.000006859431,0.0001229839,0.000006896149,0.004415994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0394594,"threshold_uncertainty_score":0.07845944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03278364582289778,"score_gpt":0.3816692019315297,"score_spread":0.3488855561086319,"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."}}