{"id":"W2285627791","doi":"","title":"Of Big Birds, Horses and Bayonets","year":2012,"lang":"en","type":"article","venue":"Divergent/Convergent","topic":"Geographies of human-animal interactions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003738223,0.0001467502,0.0001961225,0.0002070917,0.0004346302,0.000031903,0.0002298695,0.00008186687,0.0039201],"category_scores_gemma":[0.0001478723,0.000146927,0.0001425203,0.0003041343,0.0004044245,0.000346717,0.0001576746,0.0001045957,0.0001974491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000385326,"about_ca_system_score_gemma":0.00003738086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004687289,"about_ca_topic_score_gemma":0.003815952,"domain_scores_codex":[0.9984979,0.0001190298,0.0002753906,0.0002010726,0.0004149147,0.0004916596],"domain_scores_gemma":[0.9991046,0.00007497785,0.0001456743,0.0001958884,0.0001371458,0.0003417124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003133883,0.000412073,0.915519,0.00003621968,0.0001808496,0.000002415583,0.01767621,0.000001582009,0.00257005,0.04308806,0.01913705,0.001345179],"study_design_scores_gemma":[0.0004048082,0.0001398726,0.4832731,0.00003072196,0.0001412652,0.000002902344,0.02459191,0.00000668152,0.004096243,0.0007189494,0.4861374,0.000456099],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809232,0.002313837,0.000006467262,0.0006373515,0.003664439,0.0002214567,0.00002836219,0.00007972786,0.0121251],"genre_scores_gemma":[0.9962983,0.001362101,0.000119212,0.0001036967,0.0003036513,0.00001578352,0.000005949786,0.00001419915,0.00177715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4670004,"threshold_uncertainty_score":0.9969904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0436745029909681,"score_gpt":0.310284070084657,"score_spread":0.2666095670936889,"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."}}