{"id":"W6976988907","doi":"10.6084/m9.figshare.26985598","title":"Additional file 3 of Track and dive-based movement metrics do not predict the number of prey encountered by a marine predator","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Geotechnical and construction materials studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Regression; Movement (music); Track (disk drive); Predation; Regression analysis; Predator","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00001494934,0.00007771239,0.0001052196,0.00002385065,0.00002007407,0.00002251086,0.00006974592,0.00003740483,0.9431258],"category_scores_gemma":[0.0002574083,0.00005547214,0.00003788349,0.0001184972,0.00001514637,0.00003981871,0.00006990779,0.00005521641,0.00008975467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001081444,"about_ca_system_score_gemma":0.00001335524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000237131,"about_ca_topic_score_gemma":0.000001508113,"domain_scores_codex":[0.999531,0.000007677763,0.0001587546,0.00009016023,0.0001388624,0.00007356627],"domain_scores_gemma":[0.9994305,0.000390642,0.00002773277,0.00008339044,0.00004800308,0.00001968027],"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":[0.000003963661,0.000008862047,0.000005807508,0.000449918,0.00004335203,5.27581e-7,0.00001001912,0.00006573558,0.0001414728,0.000004496142,0.9977064,0.00155942],"study_design_scores_gemma":[0.000202484,0.00004846783,0.004159671,0.002005608,0.00002855382,0.000004309746,0.00003704384,0.009403206,0.009088183,0.000167476,0.9746862,0.000168774],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009187178,0.0001147125,0.000002830679,0.00001885171,0.00003686516,0.0001085559,0.9976289,0.00007267028,0.00109791],"genre_scores_gemma":[0.2773254,0.00001693734,0.0004311768,0.0000501332,0.00009870908,0.001300324,0.7202911,0.00002679026,0.0004594081],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.943036,"threshold_uncertainty_score":0.2262088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01133013174150922,"score_gpt":0.1994045770690351,"score_spread":0.1880744453275258,"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."}}