{"id":"W7094943688","doi":"10.6084/m9.figshare.30418909","title":"PREDICTING SUITABLE MARINE HABITAT FOR PINK-FOOTED SHEARWATERS (<i>ARDENNA CREATOPUS</i>) IN THE WATERS ALONG THE PACIFIC COAST OF CANADA","year":2025,"lang":"","type":"dataset","venue":"Figshare","topic":"History of Computing Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Habitat; Abundance (ecology); Shearwater; Latitude; Generalized additive model; Population; Endangered species; Distribution (mathematics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003829083,0.0004864657,0.0001900373,0.0006567382,0.0005019043,0.0007055377,0.001013182,0.0003152532,0.00575056],"category_scores_gemma":[0.001356522,0.0002407377,0.0008121518,0.0008822406,0.0002177507,0.0002632604,0.0005577285,0.0004881898,0.000806178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002977837,"about_ca_system_score_gemma":0.006980292,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9210971,"about_ca_topic_score_gemma":0.9565613,"domain_scores_codex":[0.9998899,0.00001198287,0.000004951056,0.00004459509,0.00001601967,0.00003257315],"domain_scores_gemma":[0.9995746,0.0001101025,0.00004929083,0.0000221758,0.0001650377,0.00007871966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009260698,0.00005573919,0.9316453,0.000113074,0.0002239507,0.000100006,0.0002100079,0.03485603,0.0007437288,0.0003758684,0.01946705,0.01211659],"study_design_scores_gemma":[0.00006604518,0.00006295431,0.828781,0.00009826616,0.0001573171,0.00008782477,0.001266045,0.1590424,0.0006840788,0.0004724695,0.009234312,0.00004730829],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9252558,0.0001558457,0.004229368,0.000445393,0.00003218776,0.00008788905,0.0659864,0.0005566028,0.003250491],"genre_scores_gemma":[0.9260862,0.0002012825,0.01244423,0.0001044222,0.00001157959,0.0001159222,0.05611544,0.0001430899,0.004777767],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.0789029,"threshold_uncertainty_score":0.1587351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0193159851078712,"score_gpt":0.2217621989106013,"score_spread":0.2024462138027301,"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."}}