{"id":"W4413510042","doi":"10.4095/st000091","title":"Forest Soil Datasets in Ontario - Facts Sheets","year":2025,"lang":"en","type":"report","venue":"","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Soil science; Forestry; Geography","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":[0.001462279,0.001257484,0.0009072765,0.005518174,0.00152067,0.002348794,0.001841892,0.0007967546,0.1067113],"category_scores_gemma":[0.00594328,0.000952753,0.0008871128,0.01808585,0.0004511196,0.001307161,0.001210666,0.0007527049,0.04523005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01378345,"about_ca_system_score_gemma":0.02930071,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9487158,"about_ca_topic_score_gemma":0.96173,"domain_scores_codex":[0.9987594,0.00007909369,0.0001218163,0.0001352101,0.000646477,0.0002580295],"domain_scores_gemma":[0.9925166,0.0006955459,0.0005014978,0.000938087,0.004678945,0.000669235],"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":[0.0001361234,0.0000214941,0.00420557,0.0003616656,0.00002823616,0.00003276495,0.0001392818,0.0009100176,0.0001551284,0.001336119,0.9857441,0.006929552],"study_design_scores_gemma":[0.0001857009,0.00001075835,0.04472743,0.0001919446,0.00003435508,0.00003156956,0.0002800277,0.001495159,0.000732712,0.000790431,0.9514754,0.00004442445],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003519494,0.00001581173,0.00007661594,0.00004753356,0.000008470044,0.00002069066,0.9965417,0.0001742184,0.002762962],"genre_scores_gemma":[0.001798345,0.0001058702,0.0006517848,0.00001669097,0.000005850221,0.0001032795,0.9895874,0.0001602839,0.007570512],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1067113,"threshold_uncertainty_score":0.3569847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0578921901478413,"score_gpt":0.2590328101537883,"score_spread":0.201140620005947,"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."}}