{"id":"W6977668742","doi":"10.6084/m9.figshare.c.6471283","title":"Supplementary material from \"Energetic connectivity of diverse elasmobranch populations – implications for ecological resilience\"","year":2023,"lang":"en","type":"other","venue":"Figshare","topic":"Probability and Statistical Research","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Ecosystem; Predation; Habitat; Ecosystem diversity; Ecological resilience; Energy flow; Psychological resilience; Resource (disambiguation); Ecological stability","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001171061,0.0008332395,0.0006616741,0.001681282,0.0005805928,0.001137294,0.001391253,0.0005658727,0.8187451],"category_scores_gemma":[0.01454378,0.0003503686,0.0007830626,0.002759856,0.0002233676,0.001253488,0.001301696,0.0005177667,0.1974375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001069112,"about_ca_system_score_gemma":0.001167807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006932188,"about_ca_topic_score_gemma":0.01299595,"domain_scores_codex":[0.9994895,0.000107808,0.00005501993,0.0001082209,0.0001777188,0.00006162657],"domain_scores_gemma":[0.9949574,0.002829988,0.000240183,0.0004522567,0.001261265,0.0002589168],"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":[0.00006206061,0.0000275171,0.0009225116,0.0002969464,0.00001621392,0.00004459962,0.0000331669,0.0004397343,0.0001768355,0.003346249,0.9729997,0.02163451],"study_design_scores_gemma":[0.0003109754,0.00009758649,0.01633616,0.0005590981,0.00003792283,0.0003532915,0.00009850253,0.005257952,0.0006231655,0.03068915,0.945582,0.00005414217],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002900806,0.0003551044,0.01758939,0.002492175,0.003784635,0.0001712306,0.9018574,0.004474805,0.06637448],"genre_scores_gemma":[0.04821495,0.001295741,0.03915673,0.001668547,0.002551141,0.001037461,0.7574765,0.006016103,0.1425827],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8187451,"threshold_uncertainty_score":0.258538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2345920885251877,"score_gpt":0.4204674550861791,"score_spread":0.1858753665609914,"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."}}