{"id":"W4394885787","doi":"10.5962/p.381394","title":"Sherbrooke Forest","year":2017,"lang":"en","type":"article","venue":"Newsletter /","topic":"Forest ecology and management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Forestry; Geography","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00007055287,0.00005600437,0.0000488044,0.000006662757,0.0002987116,0.00004649831,0.0003593159,0.00003239405,0.004573524],"category_scores_gemma":[0.00001377443,0.00004839231,0.00002557431,0.000008944992,0.0001643503,0.0001785102,0.0003219009,0.00005655101,0.007327627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000301273,"about_ca_system_score_gemma":7.900724e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002398458,"about_ca_topic_score_gemma":0.00177091,"domain_scores_codex":[0.9995484,0.000006794192,0.00005629161,0.0001472999,0.00007759586,0.0001636663],"domain_scores_gemma":[0.9994628,0.000005098666,0.00003693599,0.0004587005,7.354103e-7,0.00003571804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004951513,0.00002346084,0.5860429,0.000002470005,0.000006053161,0.0000338381,0.00003844445,0.000149154,0.0002776631,0.004785771,0.4032484,0.005386842],"study_design_scores_gemma":[0.0001155017,0.00001228927,0.6282421,0.000001164111,0.000002977811,9.809861e-7,8.411116e-7,0.00005471924,0.0000740168,0.00693493,0.3645126,0.00004788942],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5237525,0.000003426671,0.001661057,0.01080008,0.000374855,0.0001174051,3.684361e-7,0.00003319773,0.4632571],"genre_scores_gemma":[0.9786122,0.000002080405,0.0004236375,0.006406301,0.00007063807,0.0000142237,8.386556e-7,0.000005486361,0.01446457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4548597,"threshold_uncertainty_score":0.9963364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009684556344088055,"score_gpt":0.2207007833651567,"score_spread":0.2110162270210687,"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."}}