{"id":"W6902160853","doi":"10.6084/m9.figshare.27923028","title":"Cooley_et_al_data__Agg_Nov2024_dP.csv","year":2024,"lang":"en","type":"dataset","venue":"Figshare","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biome; Ecosystem; Global warming; Temperate climate; Greenhouse gas; Deforestation (computer science); Climate change; Ecosystem services","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002717492,0.00232898,0.002532941,0.004974005,0.002233406,0.01103069,0.004773935,0.00249127,0.8303897],"category_scores_gemma":[0.02609167,0.00251312,0.002475691,0.01305124,0.0009059845,0.003882713,0.005663984,0.002888517,0.6974262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002265195,"about_ca_system_score_gemma":0.004953684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02952115,"about_ca_topic_score_gemma":0.032809,"domain_scores_codex":[0.9968687,0.0005237124,0.0002509246,0.001103713,0.0008182194,0.0004347757],"domain_scores_gemma":[0.9937524,0.002239384,0.0003719436,0.002035943,0.001037837,0.0005624478],"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":[0.00007331749,0.00001138137,0.0007745429,0.0005310407,0.00008741837,0.00003552144,0.00004855849,0.0002791357,0.000104792,0.002244148,0.9852616,0.01054845],"study_design_scores_gemma":[0.0001118893,0.00000847653,0.001425857,0.000184214,0.00003219128,0.00003490413,0.0000362247,0.00019743,0.0002360335,0.002091399,0.995615,0.00002629559],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002642944,0.0002636135,0.001357691,0.001362436,0.0008683995,0.00003515926,0.9434789,0.007934095,0.04443551],"genre_scores_gemma":[0.006283556,0.0007619566,0.005880517,0.001219072,0.000357066,0.0005472412,0.8837597,0.01929915,0.08189169],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1696103,"threshold_uncertainty_score":0.2419286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07562696817235201,"score_gpt":0.3343035200371864,"score_spread":0.2586765518648344,"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."}}