{"id":"W7050446911","doi":"","title":"Forest owners","year":2005,"lang":"en","type":"article","venue":"DORA WSL (Swiss Federal Institute for Forest, Snow and Landscape Research)","topic":"Laser-Plasma Interactions and Diagnostics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Work (physics); Football; Forest management; Hectare; Private sector","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003941088,0.0002874662,0.0003132959,0.0002352561,0.001079682,0.0005956548,0.0002792873,0.000112681,0.000758391],"category_scores_gemma":[0.0001014879,0.0002270321,0.0001807404,0.0002626161,0.0002474101,0.0007609909,0.0001565444,0.0004451608,0.0003107312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004962357,"about_ca_system_score_gemma":0.0001489741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001860027,"about_ca_topic_score_gemma":0.003764055,"domain_scores_codex":[0.9979363,0.00004735108,0.0003522368,0.0004725376,0.0003574059,0.000834136],"domain_scores_gemma":[0.9985198,0.0003952108,0.00008349185,0.0003290161,0.000287506,0.0003849227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005307508,0.001059039,0.1118819,0.0001774597,0.000363835,0.00002996997,0.0004421343,0.01241738,0.0001176931,0.4150491,0.3865337,0.07139698],"study_design_scores_gemma":[0.001986464,0.0003655331,0.003604438,0.0001369129,0.00003710793,0.00001493909,0.0005634546,0.01525532,0.0006883536,0.01415701,0.9627005,0.0004899193],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8895613,0.00026033,0.007732837,0.004384042,0.0007376839,0.001426701,0.0007822199,0.0001496271,0.09496523],"genre_scores_gemma":[0.9895629,0.00007224559,0.001101642,0.00008452715,0.001408697,0.0001869645,0.0008485682,0.00004733847,0.006687105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5761668,"threshold_uncertainty_score":0.9258099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03947264856483454,"score_gpt":0.3329330452556813,"score_spread":0.2934603966908468,"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."}}