{"id":"W4318999664","doi":"10.3389/fmars.2023.1070575","title":"Marine litter colonization: Methodological challenges and recommendations","year":2023,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Marine debris; Biological dispersal; Colonization; Identification (biology); Ecology; Environmental resource management; Sampling (signal processing); Biology; Environmental science; Geography; Computer science; Sociology","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":[],"consensus_categories":[],"category_scores_codex":[0.001265415,0.00007878043,0.0001051458,0.0001425106,0.0001546233,0.00003122901,0.0002011408,0.00003760033,0.0006941473],"category_scores_gemma":[0.000487637,0.00006988848,0.00001063767,0.0008639399,0.000499061,0.0001797729,0.0009487834,0.00009601391,0.00008851991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008857816,"about_ca_system_score_gemma":0.00001407502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000271955,"about_ca_topic_score_gemma":0.00004317132,"domain_scores_codex":[0.9989903,0.00006691967,0.0001395083,0.0003402085,0.0001904299,0.0002726339],"domain_scores_gemma":[0.9996243,0.0001177683,0.00003705672,0.0001302971,0.000007752094,0.00008286203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001676323,0.00003653679,0.4858112,0.00000867361,0.000002816736,0.00001198787,0.0004445487,0.0005318103,0.00137774,0.001904132,0.0146976,0.4951562],"study_design_scores_gemma":[0.000149548,0.00003985325,0.9542943,0.00000494009,0.000002944591,0.000007033921,0.0001257222,0.01238046,0.0001145119,0.01669617,0.01607411,0.0001104096],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8895638,0.00007399618,0.03782886,0.01520164,0.003484219,0.000489939,0.00001521469,0.0001988718,0.05314348],"genre_scores_gemma":[0.4654691,0.002937978,0.5288278,0.0003325855,0.00006669646,0.00002696479,0.00002469075,0.00001119306,0.002303021],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4950458,"threshold_uncertainty_score":0.7600425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.045644911338427,"score_gpt":0.2804513722643153,"score_spread":0.2348064609258883,"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."}}