{"id":"W4394243680","doi":"10.6084/m9.figshare.855617","title":"Terrestrial Mammal Food Web of Newfoundland","year":2013,"lang":"en","type":"dataset","venue":"Figshare","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mammal; Food web; Geography; Marine mammal; World Wide Web; Fishery; Zoology; Ecology; Computer science; Biology; Predation","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00004302275,0.0002111788,0.0003508808,0.00006489623,0.0000442012,0.00003000774,0.0008129952,0.000347276,0.9140709],"category_scores_gemma":[0.0005158669,0.0001909737,0.0001382466,0.0001581489,0.00003298247,0.0001028675,0.0007058487,0.0002644351,0.06455297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001263714,"about_ca_system_score_gemma":0.00005485722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004032185,"about_ca_topic_score_gemma":0.01039173,"domain_scores_codex":[0.9986914,0.00006508145,0.0003089738,0.0003469225,0.0003067635,0.0002808586],"domain_scores_gemma":[0.9988857,0.000106655,0.0003096529,0.0006152306,0.000007507073,0.00007524517],"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":[0.000004514151,0.00003509701,0.000184106,0.00003016223,0.00003596859,0.000008377502,0.000002204418,0.00002492259,0.000003822906,7.002397e-8,0.9994869,0.0001838594],"study_design_scores_gemma":[0.0002328129,0.0001342122,0.001870278,0.00009932358,0.00003957743,0.00000511138,0.000001610082,0.00003294192,0.000009162619,0.00001005672,0.9973729,0.0001920448],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001723938,0.00002183205,2.052913e-8,0.00001583546,0.0001471523,0.0002611331,0.9970592,0.00001098869,0.002311501],"genre_scores_gemma":[0.0004295032,0.000005675312,0.00002000364,0.0001006712,0.0002553964,0.0001432627,0.9986097,0.00001320733,0.0004226287],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8495179,"threshold_uncertainty_score":0.9361754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02632903417189496,"score_gpt":0.2416653457286567,"score_spread":0.2153363115567618,"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."}}