{"id":"W2990022215","doi":"10.1371/journal.pone.0225183","title":"Population productivity of shovelnose rays: Inferring the potential for recovery","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Shark Conservation Fund; Australian Government; National Oceanic and Atmospheric Administration; U.S. Department of Commerce","keywords":"Biology; Population; Overexploitation; Extinction (optical mineralogy); Productivity; Ecology; Estimator; Statistics; Demography; Economics; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.002367207,0.0003151516,0.0002834893,0.0009229449,0.0002184471,0.0005319052,0.0006516429,0.0004785624,0.000691001],"category_scores_gemma":[0.009904673,0.0003154541,0.0004567661,0.0004003792,0.0005431864,0.001011303,0.000702228,0.0004213895,0.0002413039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005093065,"about_ca_system_score_gemma":0.0001519794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003835056,"about_ca_topic_score_gemma":0.00425646,"domain_scores_codex":[0.9995812,0.0001585335,0.0000336782,0.0001250441,0.00004709571,0.00005448857],"domain_scores_gemma":[0.9950922,0.002444982,0.001339875,0.0005551628,0.0003510919,0.0002167056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005968697,0.00001567068,0.9872097,0.0000174147,0.00006456803,0.00006967301,0.000116267,0.006095441,0.001840027,0.0002094112,0.00003922267,0.004262923],"study_design_scores_gemma":[0.000004401003,0.0000932194,0.9616652,0.000009730336,0.00002763026,0.0002061411,0.000255907,0.0360935,0.0007309236,0.0007653977,0.0001334128,0.00001460362],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980019,0.0000480639,0.001419537,0.00002300464,7.512548e-7,0.000003112888,0.0001025718,0.000009139676,0.0003920092],"genre_scores_gemma":[0.9994164,0.00002136287,0.0003827197,0.000004073589,0.000001175253,0.000003284597,0.000111545,0.000001726448,0.00005765237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003835056,"threshold_uncertainty_score":0.01251918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0194349816257599,"score_gpt":0.2073201884022265,"score_spread":0.1878852067764666,"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."}}