{"id":"W3120640524","doi":"10.1126/science.abd7926","title":"Tracking, targeting, and conserving soil biodiversity","year":2021,"lang":"en","type":"article","venue":"Science","topic":"Invertebrate Taxonomy and Ecology","field":"Agricultural and Biological Sciences","cited_by":340,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Biodiversity; Environmental science; Tracking (education); Biology; Ecology; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.00920509,0.0005518355,0.0004080412,0.004183241,0.001109443,0.003343139,0.001167798,0.001971312,0.002402932],"category_scores_gemma":[0.02196878,0.0003203172,0.0002013794,0.003432651,0.001520758,0.005773922,0.001880095,0.001147187,0.0006910695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001792723,"about_ca_system_score_gemma":0.005478238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01008239,"about_ca_topic_score_gemma":0.02467144,"domain_scores_codex":[0.9959857,0.002206324,0.0002480624,0.0005541367,0.0006967314,0.0003090283],"domain_scores_gemma":[0.9780905,0.006729716,0.008583342,0.002195118,0.003070316,0.001330961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001675437,0.000588714,0.3219843,0.0005238827,0.0001139594,0.00007757585,0.0005667628,0.01619308,0.009001746,0.02895998,0.01672575,0.6050967],"study_design_scores_gemma":[0.0001568096,0.001559014,0.5182515,0.002177689,0.0005504484,0.0003842401,0.00618879,0.1433956,0.01970571,0.1645237,0.1427544,0.000352118],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5043226,0.006285755,0.3619533,0.0488332,0.0009489922,0.001200113,0.007143599,0.001922673,0.06738978],"genre_scores_gemma":[0.8788005,0.003962643,0.1092137,0.001615115,0.0002834341,0.0004920354,0.001572697,0.00005269029,0.004007109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01008239,"threshold_uncertainty_score":0.04868174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02195739524002393,"score_gpt":0.1960121391803143,"score_spread":0.1740547439402904,"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."}}