{"id":"W4366507076","doi":"10.1126/science.adi3230","title":"Scientists plan a comeback for Ukraine’s war-ravaged forests","year":2023,"lang":"en","type":"article","venue":"Science","topic":"Environmental and Biological Research in Conflict Zones","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Plan (archaeology); Forestry; Political science; Business; Geography; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001699645,0.0001220506,0.0001100351,0.00008321076,0.000704491,0.00007350791,0.0009810216,0.00004277944,0.0008516786],"category_scores_gemma":[0.0005726985,0.00008511622,0.00005568231,0.001393191,0.002739552,0.0002807119,0.0008448371,0.00009448923,0.003208664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001326505,"about_ca_system_score_gemma":0.00002416323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003480931,"about_ca_topic_score_gemma":0.0001099862,"domain_scores_codex":[0.9975614,0.00002435503,0.0001542143,0.0006071237,0.0008255626,0.0008273198],"domain_scores_gemma":[0.9991622,0.0001932619,0.0000403749,0.0002940955,0.000009005385,0.0003010453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00006649397,0.0001483264,0.3422131,0.00002071762,0.000005431945,0.00003266287,0.0005312515,0.0004539719,0.5787197,0.0008356758,0.02146661,0.05550611],"study_design_scores_gemma":[0.0003521362,0.0002860026,0.8086259,0.00001149435,0.000002318437,0.000006687511,0.00008585386,0.00500667,0.01436788,0.003567335,0.1674404,0.000247345],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921023,0.00001886684,0.0002293586,0.001021586,0.0002448884,0.0004715561,0.00002856994,0.0001174605,0.005765473],"genre_scores_gemma":[0.9928805,0.00004141673,0.001068969,0.0002988601,0.00003885898,0.00008089816,0.00001415176,0.000007128649,0.005569209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5643518,"threshold_uncertainty_score":0.9999744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06330238403579704,"score_gpt":0.3279992312721241,"score_spread":0.2646968472363271,"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."}}