{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001699523,0.0000935499,0.00007228257,0.00003911956,0.0008510111,0.00003578023,0.0005576127,0.00002845823,0.0006415945],"category_scores_gemma":[0.0002075738,0.00004817691,0.00002039338,0.0005185413,0.005678432,0.0001430374,0.0008763729,0.0001810584,0.0003030949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000249214,"about_ca_system_score_gemma":0.00004312577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000297419,"about_ca_topic_score_gemma":0.00002589882,"domain_scores_codex":[0.9980454,0.00009213541,0.0001619055,0.00026279,0.001107672,0.0003301395],"domain_scores_gemma":[0.9991822,0.0002055545,0.000114041,0.0004203943,0.00001450283,0.00006335216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005783716,0.0003941875,0.03251019,0.00002685676,0.00003184878,0.000002927145,0.00312351,0.3266636,0.6209965,0.00530553,0.00244293,0.00792355],"study_design_scores_gemma":[0.0003882475,0.0007001894,0.8373791,0.0001025421,0.00003552267,0.00004539659,0.0001662906,0.1029024,0.05437953,0.002460731,0.001216766,0.0002233111],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945175,0.00000286909,0.0008644246,0.001144193,0.0001994703,0.0002086589,0.000003150196,0.000007248379,0.003052452],"genre_scores_gemma":[0.9987243,0.000006383765,0.0006487744,0.00003845062,0.00005862934,0.000006529895,7.827782e-7,0.000006318594,0.0005098113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8048689,"threshold_uncertainty_score":0.9970275,"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."}}