{"id":"W1573443299","doi":"10.32800/abc.2004.27.0297","title":"Dispersal and migration","year":2004,"lang":"en","type":"article","venue":"Animal Biodiversity and Conservation","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Biological dispersal; Geolocation; Bird migration; Ringing; Bayesian probability; Geography; Ecology; Computer science; Biology; Population; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.00003302396,0.00003449228,0.00002989565,0.00000747558,0.0001724075,0.00001019959,0.00001971248,0.0000398009,0.0001375393],"category_scores_gemma":[0.000004347098,0.00003417446,0.000006586068,0.00003454678,0.0001476429,0.0002030439,0.00004263069,0.00002907996,0.0001306413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001929128,"about_ca_system_score_gemma":0.000002442494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006292324,"about_ca_topic_score_gemma":0.00154448,"domain_scores_codex":[0.9997748,0.000006914735,0.00003123824,0.00009789746,0.00003596352,0.00005314305],"domain_scores_gemma":[0.9999262,0.000005722031,0.00001550517,0.00002349836,0.000002492377,0.00002657177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002326638,0.00001546347,0.9955525,8.554663e-7,0.000001163259,0.000002483456,0.0002358442,6.109546e-7,0.003277886,0.0001146415,0.0003188014,0.0004564157],"study_design_scores_gemma":[0.0002194895,0.00007820447,0.9979179,0.000001017934,0.00001246702,0.000004539367,0.0001456545,0.00001314752,0.0006279373,0.0001079196,0.0008257621,0.00004596653],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949098,0.00000799655,0.00003832701,0.004843176,0.00001214413,0.0000440522,0.00000490148,0.00001237941,0.0001272689],"genre_scores_gemma":[0.9989643,0.00001994921,0.0001846696,0.0007855941,0.000003202244,5.618221e-7,0.000007738237,4.505472e-7,0.00003356237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004057582,"threshold_uncertainty_score":0.1679173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01276858803755809,"score_gpt":0.1913548457735423,"score_spread":0.1785862577359842,"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."}}