{"id":"W4230106528","doi":"10.15353/acmla.n158.220","title":"Movebank","year":2018,"lang":"en","type":"article","venue":"Bulletin - Association of Canadian Map Libraries and Archives (ACMLA)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"Universität Konstanz; Max-Planck-Gesellschaft; North Carolina Museum of Natural Sciences; Ohio State University; National Aeronautics and Space Administration; Deutsches Zentrum für Luft- und Raumfahrt; National Science Foundation","keywords":"Computer science; Focus (optics); World Wide Web; Tracking (education); Information retrieval; Data science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005103461,0.001082272,0.0017676,0.00724189,0.002755103,0.009953039,0.00504333,0.002039866,0.3745581],"category_scores_gemma":[0.02442752,0.001957156,0.001270601,0.01318356,0.0008907575,0.007209747,0.005188261,0.002554516,0.3313232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002743075,"about_ca_system_score_gemma":0.008537692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02886854,"about_ca_topic_score_gemma":0.0369708,"domain_scores_codex":[0.9966938,0.0004871932,0.0004898502,0.001054296,0.0009335898,0.0003412068],"domain_scores_gemma":[0.9888282,0.00282555,0.0008609081,0.003552194,0.003160683,0.0007726468],"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":[0.0002409851,0.00002331507,0.0004225486,0.000682577,0.0000369662,0.0000624918,0.0002903622,0.0001086153,0.0004669761,0.008812559,0.962666,0.02618671],"study_design_scores_gemma":[0.00002519304,0.000005594361,0.0003648286,0.0001189637,0.00001798581,0.00002770933,0.00005909818,0.00009710886,0.0002957974,0.001734169,0.9972368,0.00001671806],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001231164,0.001106537,0.01242036,0.00214956,0.0006810013,0.0003846528,0.7991834,0.06528804,0.1175553],"genre_scores_gemma":[0.005547315,0.00143144,0.03238412,0.001409052,0.0001971346,0.001447442,0.8065737,0.04172297,0.1092867],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3745581,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008910334703720355,"score_gpt":0.1784361131871456,"score_spread":0.1695257784834253,"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."}}