{"id":"W6939983431","doi":"10.6084/m9.figshare.29149769","title":"Results on metal analysis in stormwater pond biofilms","year":2025,"lang":"en","type":"dataset","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stormwater; Metalloid; Biofilm; Raw water; Heavy metals; Water pollution","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":[0.001860499,0.001599496,0.001242775,0.002921144,0.0007934164,0.001620679,0.001430326,0.001318288,0.01811906],"category_scores_gemma":[0.005683826,0.0005496324,0.001513458,0.006178445,0.0002943313,0.0006071879,0.001432344,0.0008348332,0.01707497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00194437,"about_ca_system_score_gemma":0.003382203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1190311,"about_ca_topic_score_gemma":0.189548,"domain_scores_codex":[0.9984174,0.0001833507,0.0002153523,0.0005101678,0.0004627431,0.000211029],"domain_scores_gemma":[0.9971977,0.0007217161,0.0003472743,0.0004805039,0.001072856,0.0001799681],"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":[0.0003546278,0.00006468516,0.01801426,0.004422991,0.0003584537,0.00008406946,0.0001309424,0.001459558,0.00154473,0.0005672143,0.9622211,0.01077724],"study_design_scores_gemma":[0.0004065994,0.00005000268,0.1002019,0.0008950066,0.0002634058,0.00008555564,0.0002541599,0.0005787513,0.001736217,0.0008893502,0.8945691,0.00007000865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000745009,0.0001076021,0.00004822822,0.00002514551,0.000008836858,0.000007501254,0.9985471,0.00008573308,0.0004248738],"genre_scores_gemma":[0.001087026,0.00009678358,0.0002468443,0.00003007247,0.00000267395,0.00005308631,0.9978968,0.00002705004,0.0005596697],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1190311,"threshold_uncertainty_score":0.2366766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02370612830348698,"score_gpt":0.2447728685047129,"score_spread":0.2210667402012259,"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."}}