{"id":"W2803472355","doi":"10.1016/j.scitotenv.2018.04.409","title":"Linking plastic ingestion research with marine wildlife conservation","year":2018,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":58,"is_retracted":false,"has_abstract":false,"ca_institutions":"Acadia University","funders":"","keywords":"Plastic pollution; Wildlife; Wildlife conservation; Microplastics; Ingestion; Environmental planning; Population; Environmental resource management; Environmental protection; Environmental science; Ecology; Biology; Environmental health","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":[0.003737415,0.0006003478,0.0003940282,0.00464632,0.001138418,0.003833571,0.0009741218,0.001530581,0.006771018],"category_scores_gemma":[0.01092667,0.0003064525,0.0004861572,0.003866593,0.003786517,0.003443904,0.002733042,0.001182548,0.0004185189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001890144,"about_ca_system_score_gemma":0.003084793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01076723,"about_ca_topic_score_gemma":0.02137224,"domain_scores_codex":[0.9983059,0.00077579,0.00009971354,0.0003010433,0.0003493975,0.0001681162],"domain_scores_gemma":[0.9892488,0.004936985,0.002888767,0.0007042006,0.001601365,0.000619975],"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":[0.0002920729,0.0009914443,0.5191128,0.001804335,0.0006101782,0.0008008091,0.001683956,0.004561075,0.00494532,0.0306674,0.004788492,0.429742],"study_design_scores_gemma":[0.00002836864,0.001266544,0.7399743,0.004758657,0.0005302616,0.001418061,0.02192609,0.00399815,0.01224852,0.09775644,0.1159813,0.0001132556],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6254786,0.113678,0.01969788,0.06958535,0.001975955,0.0002563107,0.0008541718,0.000108331,0.1683655],"genre_scores_gemma":[0.9170271,0.06133793,0.00923803,0.003785721,0.000962125,0.0000617522,0.0001821081,0.00002479741,0.007380365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01076723,"threshold_uncertainty_score":0.02265137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02379358520296683,"score_gpt":0.2376160970045092,"score_spread":0.2138225118015424,"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."}}