{"id":"W4307918719","doi":"10.1002/ece3.9441","title":"Body mass, temperature, and depth shape the maximum intrinsic rate of population increase in sharks and rays","year":2022,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Extinction (optical mineralogy); Ecology; Population; Extinction event; Biology; Fishing; Metabolic rate; Deep sea; Fishery; Paleontology; Demography","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.000415347,0.0001674,0.0001777524,0.0004692591,0.0001169839,0.000378532,0.0001898797,0.0001835571,0.001394698],"category_scores_gemma":[0.001114493,0.0002405046,0.0002481721,0.0001949412,0.0003015835,0.0002912959,0.0002972434,0.0002398979,0.0001684252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001477967,"about_ca_system_score_gemma":0.00007293163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001277839,"about_ca_topic_score_gemma":0.001656371,"domain_scores_codex":[0.999922,0.00002096112,0.000005276083,0.00002691048,0.00001330864,0.00001147928],"domain_scores_gemma":[0.9992191,0.000249626,0.0003149105,0.00006388825,0.00008235694,0.00007018833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000318556,0.00003359511,0.9371237,0.00004084291,0.0001538759,0.0000949549,0.0001912811,0.004393502,0.04919752,0.0002665513,0.0001678154,0.008017817],"study_design_scores_gemma":[0.00000227285,0.0000557336,0.9947916,0.000003217047,0.000015053,0.00006292725,0.00007484813,0.004195078,0.0006406758,0.0001102935,0.00004343295,0.000004917973],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991019,0.00003278189,0.0005410537,0.000008699336,0.000001418046,0.000001328172,0.00005812345,0.000007875957,0.0002468178],"genre_scores_gemma":[0.999645,0.00001139007,0.0001987773,0.000007443021,0.000002090957,0.000001452042,0.00004257864,0.000003317462,0.00008798703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001394698,"threshold_uncertainty_score":0.004665673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004043185013534335,"score_gpt":0.1942456223489429,"score_spread":0.1902024373354085,"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."}}