{"id":"W6930201721","doi":"10.5061/dryad.46b47h1","title":"Data from: Decay patterns of invasive plants and plastic trash in urban streams","year":2018,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"STREAMS; Riparian zone; Litter; Plant litter; Invertebrate; Invasive species; Detritivore; Plastic pollution","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003632367,0.0002045968,0.000171299,0.0009687316,0.0007788494,0.0007337487,0.0003653026,0.0002118811,0.002546048],"category_scores_gemma":[0.001225045,0.0001448009,0.0001614864,0.001705058,0.0002720869,0.0001960495,0.0003914374,0.000277147,0.0005044364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00230039,"about_ca_system_score_gemma":0.001508141,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5812067,"about_ca_topic_score_gemma":0.8198755,"domain_scores_codex":[0.9995791,0.00003544956,0.00004612563,0.00009173404,0.0001602108,0.00008732663],"domain_scores_gemma":[0.9981208,0.0001636402,0.0005054398,0.00009588512,0.0008495072,0.0002645492],"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":[0.000140705,0.00003302963,0.9894354,0.00004046778,0.00002475266,0.00004100874,0.0004812059,0.0001222443,0.0007331795,0.00001937862,0.0006926716,0.008235914],"study_design_scores_gemma":[0.000004000289,0.00001884833,0.9983517,0.000008024363,0.00001013939,0.00001983501,0.0002928325,0.0001370297,0.000168572,0.000005803128,0.0009797408,0.000003470147],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9895161,0.00007031818,0.0002034827,0.00001531493,0.000002156251,0.00005055047,0.008789015,0.00001507937,0.001338073],"genre_scores_gemma":[0.9809415,0.0001609349,0.0007804604,0.00003119315,0.000003114165,0.0001097272,0.01359364,0.00001213113,0.004367236],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.5812067,"threshold_uncertainty_score":0.8425193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04434584909041153,"score_gpt":0.316842321647991,"score_spread":0.2724964725575795,"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."}}