{"id":"W6912818896","doi":"10.5683/sp2/ldrals","title":"Replication Data for: Surface Water Microplastics, Saint John Harbour, New Brunswick (CC BY 4.0)","year":2020,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microplastics; SAINT; Harbour; Surface water; Replication (statistics); Environmental research; Debris","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002920116,0.001508006,0.001288711,0.003078626,0.001493595,0.002740941,0.002963905,0.001570208,0.1221889],"category_scores_gemma":[0.01507978,0.0008037129,0.001105174,0.007034088,0.0006434958,0.001176019,0.002218992,0.001453664,0.07703409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003759742,"about_ca_system_score_gemma":0.01222754,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3178929,"about_ca_topic_score_gemma":0.4792912,"domain_scores_codex":[0.9983871,0.0002275283,0.0002323228,0.0005008199,0.0003548985,0.0002973855],"domain_scores_gemma":[0.993445,0.0008559405,0.0006025005,0.001716015,0.002784839,0.0005957032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006520974,0.000008863786,0.002021889,0.0003965579,0.00004508809,0.00002233819,0.00003287083,0.0001087153,0.00007914037,0.0004128932,0.9950255,0.001780973],"study_design_scores_gemma":[0.000343409,0.00001302891,0.01675972,0.0004453966,0.00005629685,0.00004087566,0.0001339959,0.0001633512,0.0002628971,0.001176934,0.9805517,0.00005238852],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009807773,0.0000241415,0.00004866844,0.00006895071,0.00002272273,0.00001526766,0.9991816,0.00007944318,0.0004610287],"genre_scores_gemma":[0.0008224178,0.00003777786,0.0003573959,0.00008690717,0.00001057904,0.0002163577,0.9967219,0.00008948574,0.00165722],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6821071,"threshold_uncertainty_score":0.6320851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04059352552257736,"score_gpt":0.2901067174270485,"score_spread":0.2495131919044712,"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."}}