{"id":"W2785418479","doi":"10.6084/m9.figshare.c.3998229.v2","title":"Supplementary material from \"Inferring the rules of social interaction in migrating caribou\"","year":2018,"lang":"en","type":"article","venue":"Figshare","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":1,"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009082421,0.00006098143,0.0001257543,0.00002466886,0.001372988,0.000004519949,0.00009510807,0.00007667318,0.3909039],"category_scores_gemma":[0.0001244573,0.00004552873,0.00002569921,0.00003335164,0.000008874322,0.00003584593,0.0002270561,0.000174732,0.0002644205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001234746,"about_ca_system_score_gemma":0.00006970761,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03286003,"about_ca_topic_score_gemma":0.295765,"domain_scores_codex":[0.9991392,0.0001257759,0.0002607402,0.00009371331,0.00005533398,0.0003251997],"domain_scores_gemma":[0.99949,0.0001970936,0.0001451492,0.0000720674,0.00008527552,0.00001039186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000114225,0.00004009161,0.02373589,0.0002083865,0.00005823014,0.000003429235,0.3230345,0.000001107584,0.0004561427,0.0000625024,0.6514939,0.0007915908],"study_design_scores_gemma":[0.00106043,0.0001979221,0.3814436,0.001260493,0.00002438303,7.243145e-7,0.1896923,0.000160121,0.001948708,0.0002333364,0.4237284,0.0002495221],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6837816,0.00000386671,8.429568e-8,0.0002735017,0.0004227161,0.000252756,0.3135349,0.000007790511,0.001722705],"genre_scores_gemma":[0.9186413,6.010027e-7,0.00002637983,0.0003277123,0.001295754,0.0001849354,0.07949138,0.000008216218,0.00002367948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3906395,"threshold_uncertainty_score":0.9999271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0786920374410958,"score_gpt":0.4005878000855834,"score_spread":0.3218957626444876,"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."}}