{"id":"W6950324323","doi":"10.5441/001/1.tj948m64/2","title":"Glaucous gull Elliott Coats-light-levels","year":2021,"lang":"en","type":"dataset","venue":"Movebank","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seabird; Generalist and specialist species; Habitat; Predation; Pelagic zone; Bird migration; Larus","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":[0.0002284649,0.0004812338,0.0005617405,0.00005167549,0.0002313311,0.000281406,0.0008282339,0.0004627366,0.02734529],"category_scores_gemma":[0.0001121706,0.0004008526,0.0002104049,0.0006957273,0.0001306269,0.0002010174,0.00005203223,0.0005521112,0.001924001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006178695,"about_ca_system_score_gemma":0.0003027689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001459556,"about_ca_topic_score_gemma":0.002167183,"domain_scores_codex":[0.9974965,0.00008231107,0.0004326525,0.0007306612,0.0006350441,0.0006227738],"domain_scores_gemma":[0.9984941,0.0001614806,0.0002336105,0.0007490937,0.0001171022,0.0002445899],"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":[0.00001110751,0.00003071823,0.004676136,0.0001847267,0.00006773963,0.000295,0.000008620931,0.00005168549,9.335289e-7,0.000001676914,0.9909953,0.003676362],"study_design_scores_gemma":[0.0001829478,0.00007454002,0.01036612,0.00009154175,0.00007403568,0.00003944909,0.00002617024,0.00005853158,0.00003143993,0.0002476343,0.9882663,0.000541241],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001032131,0.0107604,0.00002479319,0.0001799048,0.00162886,0.000147583,0.9829795,0.0000770226,0.003169745],"genre_scores_gemma":[0.0006671699,0.00216818,0.0003463683,0.001437484,0.0007512937,0.000001870918,0.9926648,0.00001073923,0.001952109],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02542129,"threshold_uncertainty_score":0.9998443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0115387477362518,"score_gpt":0.2074655487308256,"score_spread":0.1959268009945738,"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."}}