{"id":"W2993324324","doi":"10.1017/9781787445925.009","title":"Knowing Individual Bears","year":2019,"lang":"en","type":"other","venue":"","topic":"Geographies of human-animal interactions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Computer science","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":[0.002418309,0.0004533345,0.0003897883,0.0008374945,0.006957365,0.004938412,0.0009658166,0.002103938,0.03361247],"category_scores_gemma":[0.005827688,0.0003618169,0.0003181654,0.0007358592,0.005833785,0.009452277,0.006023036,0.002684034,0.01062006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001936309,"about_ca_system_score_gemma":0.002499217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01285595,"about_ca_topic_score_gemma":0.0363196,"domain_scores_codex":[0.9977307,0.0007595334,0.0001081674,0.0005152016,0.0005809127,0.0003055575],"domain_scores_gemma":[0.9978616,0.0005114274,0.0002930046,0.0004122977,0.0004952128,0.0004264911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003751403,0.00003244121,0.009583956,0.000353488,0.0000295364,0.0006552102,0.0977695,0.0001252982,0.000663401,0.2097258,0.4020557,0.2789682],"study_design_scores_gemma":[0.000001110194,0.00001308903,0.00173925,0.0002709315,0.000006467651,0.0004528214,0.01617509,0.00001754263,0.0001166403,0.01474335,0.9664518,0.00001194316],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0332728,0.02872731,0.0142092,0.1261782,0.01154945,0.0001526526,0.001104974,0.0002755029,0.7845299],"genre_scores_gemma":[0.3268826,0.03632386,0.01756272,0.05422963,0.006184331,0.00019298,0.001507615,0.0003443205,0.556772],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03361247,"threshold_uncertainty_score":0.1124449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03559555759514609,"score_gpt":0.3368750546937141,"score_spread":0.301279497098568,"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."}}