{"id":"W2073712355","doi":"10.1016/j.jglr.2014.02.012","title":"Comparison of the distribution and degradation of plastic debris along shorelines of the Great Lakes, North America","year":2014,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":468,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Debris; Shore; Rubble; Pellets; Geology; Microplastics; Environmental science; Hydrology (agriculture); Geotechnical engineering; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006529313,0.00008317984,0.0002390746,0.00005131297,0.0001467636,0.00001379095,0.0003094257,0.00004777345,0.00007986698],"category_scores_gemma":[0.001164764,0.00004445482,0.00009064875,0.0004201991,0.000701662,0.00007971461,0.0001555681,0.0002621469,0.000002249004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006796917,"about_ca_system_score_gemma":0.00004093192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003084066,"about_ca_topic_score_gemma":0.001046673,"domain_scores_codex":[0.9981194,0.0002884354,0.0004910196,0.00009954623,0.000826001,0.0001755642],"domain_scores_gemma":[0.9984669,0.0007112359,0.0004391117,0.0001794176,0.000137841,0.00006549442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001210304,0.00007874761,0.9658118,0.00003867813,0.00002362923,4.154195e-7,0.000166358,0.00399526,0.01760521,0.00004786245,0.001991473,0.01011954],"study_design_scores_gemma":[0.0003045886,0.0003413299,0.9676055,0.0001328571,0.0000515795,0.00001541275,0.00008637474,0.01865028,0.009967193,0.0001007463,0.00269001,0.00005415865],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953661,0.0000942284,0.003973571,0.0001380939,0.0001174156,0.00009613605,0.0001010145,9.927439e-7,0.00011243],"genre_scores_gemma":[0.9996989,0.0000780402,0.0001021673,0.000003222681,0.00003724545,7.230069e-7,0.00000658111,0.000004796489,0.00006827419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01465502,"threshold_uncertainty_score":0.2585303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03378448024396111,"score_gpt":0.2998958153777218,"score_spread":0.2661113351337606,"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."}}