{"id":"W2125793369","doi":"10.1890/04-0147","title":"PREDICTIVE MODELS OF MOVEMENT BY SERENGETI GRAZERS","year":2004,"lang":"en","type":"article","venue":"Ecology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":214,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Parks Canada; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Northwestern University","keywords":"Ecology; Movement (music); Geography; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009974743,0.00005867413,0.00009129888,0.00001382619,0.00004789123,0.00000121183,0.0001038594,0.00008703333,0.001024726],"category_scores_gemma":[0.00001303846,0.00005857708,0.00002182837,0.00006713713,0.0001653154,0.0001084159,0.00006472835,0.00006204379,0.0001420375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001311294,"about_ca_system_score_gemma":0.00001527738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000172447,"about_ca_topic_score_gemma":0.0004360169,"domain_scores_codex":[0.9994737,0.00002950136,0.0001293966,0.0001515272,0.00006862083,0.000147247],"domain_scores_gemma":[0.9997732,0.00002802132,0.00006312361,0.00009721544,0.000005122003,0.00003332354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004858807,0.0003191439,0.8756899,0.000003742692,0.00003531148,0.000003433988,0.0006439492,0.0920664,0.002039558,0.003446423,0.02529712,0.0004064828],"study_design_scores_gemma":[0.0006426611,0.000385119,0.9251634,0.000001927628,0.0000123191,0.000001322344,0.00008805343,0.001473074,0.002179305,0.06936655,0.0006006288,0.00008565127],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866365,0.00001306371,0.001827615,0.00139792,0.000129169,0.0001400229,0.000008571958,0.0000177626,0.00982944],"genre_scores_gemma":[0.9970586,0.00001126299,0.0003756924,0.002139106,0.000008217262,0.00003159237,0.00000880153,0.000004066711,0.0003627119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09059332,"threshold_uncertainty_score":0.9998885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007337325997250973,"score_gpt":0.194824716815038,"score_spread":0.187487390817787,"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."}}