{"id":"W4392767250","doi":"10.20944/preprints202403.0019.v1","title":"Media, Soil Health and Climate Change Mitigation in Canada","year":2024,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Climate change; Environmental science; Climate change mitigation; Environmental planning; Natural resource economics; Environmental resource management; Economics; Geology; Oceanography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001669652,0.0003074768,0.0003268895,0.005786627,0.007440228,0.007068684,0.0006870787,0.0006807568,0.008772505],"category_scores_gemma":[0.0111646,0.0002734882,0.0003150477,0.01091806,0.002151862,0.00174604,0.001662691,0.0009367852,0.0003985224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07700573,"about_ca_system_score_gemma":0.1571733,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9961256,"about_ca_topic_score_gemma":0.9974222,"domain_scores_codex":[0.998113,0.000173673,0.00007539699,0.0001427291,0.0009975791,0.0004975939],"domain_scores_gemma":[0.9875649,0.00270464,0.001390671,0.0001724449,0.006380261,0.001787109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007071701,0.0003116757,0.4799294,0.004231941,0.0002922424,0.002301637,0.08858667,0.001102358,0.002720468,0.02861187,0.09227381,0.2989308],"study_design_scores_gemma":[0.00004925218,0.00007101295,0.6791326,0.001492105,0.0002197343,0.0002663055,0.07014187,0.0008345669,0.001106689,0.001517657,0.2450293,0.0001389321],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.668444,0.0390251,0.00069592,0.06235051,0.0008734276,0.0003390763,0.01967546,0.0001634214,0.2084329],"genre_scores_gemma":[0.9517684,0.02184328,0.0008192249,0.002902811,0.0001546893,0.00006403479,0.002224801,0.00004549415,0.02017731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07700573,"threshold_uncertainty_score":0.5587183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08298018704276483,"score_gpt":0.2800742523895723,"score_spread":0.1970940653468075,"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."}}