{"id":"W6969337997","doi":"10.5441/001/1.558kn337/7","title":"LTJA_GLS_02","year":2022,"lang":"en","type":"dataset","venue":"Movebank","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Foraging; Arctic; Spring (device); Productivity; Resource (disambiguation); Flyway; Habitat","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004061682,0.000449464,0.0004519046,0.0003627017,0.0001936387,0.0001002857,0.001310731,0.0002682616,0.6102144],"category_scores_gemma":[0.0002006724,0.0004886102,0.0002236815,0.0004819377,0.00008172409,0.00008824873,0.0008580131,0.001191324,0.06088921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000454063,"about_ca_system_score_gemma":0.0001579127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008603449,"about_ca_topic_score_gemma":0.0001403497,"domain_scores_codex":[0.9972654,0.0001864204,0.0003568115,0.0006928603,0.0009580337,0.0005404722],"domain_scores_gemma":[0.9975643,0.00008808692,0.0002856243,0.001887893,0.00004148102,0.0001326152],"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":[0.00002732185,0.0001142489,0.000008346977,0.00005902209,0.00008249143,0.0002679324,0.000005162605,0.0000243375,0.00001348068,0.00001718198,0.9992923,0.00008815515],"study_design_scores_gemma":[0.0002938642,0.00004794571,0.0001024155,0.00001004025,0.00008894719,0.00002342327,0.000004271878,0.000002087334,0.00000948329,0.00009248406,0.9987997,0.000525304],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001827022,0.0005213147,2.284006e-7,0.00003292341,0.001503455,0.0002853788,0.9949263,0.0002314917,0.002480655],"genre_scores_gemma":[0.000001149909,0.00005451441,0.00001418246,0.0006643257,0.0004153305,0.0001914083,0.9937791,0.0001628136,0.004717208],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5493252,"threshold_uncertainty_score":0.9997566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0161577618463153,"score_gpt":0.2659047602609481,"score_spread":0.2497469984146328,"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."}}