{"id":"W6950305936","doi":"10.5441/001/1.384g5hc7/4","title":"LTJA_transmitter_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":[0.0003618336,0.0005033179,0.0004794449,0.0003864226,0.0001845692,0.0001076003,0.001413987,0.0002540274,0.5374712],"category_scores_gemma":[0.00004474562,0.0005447663,0.0002815656,0.0004589587,0.00009088014,0.0001011173,0.0003517088,0.001301521,0.03268559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003011844,"about_ca_system_score_gemma":0.000122109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007218349,"about_ca_topic_score_gemma":0.000108534,"domain_scores_codex":[0.9971139,0.0001982777,0.0003977953,0.0007516718,0.0009657273,0.0005725586],"domain_scores_gemma":[0.9977861,0.00007967443,0.0002023386,0.001760884,0.00003551572,0.0001354754],"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":[0.00003378384,0.0001323071,0.00001493686,0.0001050966,0.0001146943,0.0003124516,0.0000108747,0.00001944495,0.00001596408,0.000007673682,0.9990952,0.0001375565],"study_design_scores_gemma":[0.0004195154,0.00005099242,0.0001762946,0.00001333801,0.0001288282,0.00002481651,0.000003142605,0.000001639486,0.00001459802,0.00008527103,0.9984958,0.0005857651],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002404093,0.0004923065,0.000001858226,0.00006288644,0.001270793,0.0003241108,0.9964733,0.0002452173,0.001105507],"genre_scores_gemma":[0.000002722063,0.00006066334,0.00002184526,0.001222814,0.0003308706,0.0002217517,0.9958676,0.0001742606,0.002097442],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5047856,"threshold_uncertainty_score":0.9997004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01535413794870971,"score_gpt":0.2520692832985283,"score_spread":0.2367151453498186,"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."}}