{"id":"W6960729410","doi":"10.1371/journal.pone.0153554.t001","title":"Physical characteristics of pre- and post-treatment biosolids in two Canadian facilities.","year":2016,"lang":"en","type":"dataset","venue":"Figshare","topic":"Plant pathogens and resistance mechanisms","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Biosolids; Sewage sludge; Yield (engineering); Lime","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":[0.0009314003,0.001202608,0.001040729,0.003789324,0.0009779657,0.001387562,0.002554539,0.0009354982,0.01392515],"category_scores_gemma":[0.006102234,0.0004611839,0.001249077,0.01402894,0.0003267531,0.0005837996,0.001112667,0.0009346597,0.005178413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009291212,"about_ca_system_score_gemma":0.0211913,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9532014,"about_ca_topic_score_gemma":0.9663665,"domain_scores_codex":[0.9989334,0.00005570398,0.0001216798,0.0002105272,0.0004544851,0.0002241358],"domain_scores_gemma":[0.9951622,0.0005616735,0.0006725231,0.0004366053,0.002727959,0.0004390835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000479659,0.00005187055,0.04884664,0.004126849,0.0004452477,0.0001005076,0.0001709502,0.00257608,0.0005145026,0.001127315,0.9288273,0.01273316],"study_design_scores_gemma":[0.0002393548,0.00003231486,0.3039224,0.001580212,0.0003211377,0.00008181523,0.000479214,0.0009942342,0.0008492663,0.0006416385,0.6907653,0.000093091],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006980954,0.0001326354,0.00002863926,0.0000231809,0.000004049572,0.000007131227,0.9985776,0.0000285649,0.0005000752],"genre_scores_gemma":[0.005829105,0.0003553878,0.0002892624,0.00005002472,0.000003530603,0.00007829688,0.9918745,0.00002234664,0.00149762],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04679859,"threshold_uncertainty_score":0.09414834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0189935490501484,"score_gpt":0.2272748242575422,"score_spread":0.2082812752073938,"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."}}