{"id":"W1989507360","doi":"10.5558/tfc82657-5","title":"Monitoring Finnish family forestry","year":2006,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Demographics; Forest management; Forestry; Scale (ratio); Community forestry; Land tenure; Environmental resource management; Geography; Agriculture; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001399506,0.0003634942,0.0002729732,0.002784638,0.0009690232,0.0006446664,0.0005143191,0.0003170566,0.005678999],"category_scores_gemma":[0.002308533,0.000160907,0.0002023819,0.001948502,0.0002051092,0.0005620833,0.0007731874,0.0001736249,0.001336889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009188066,"about_ca_system_score_gemma":0.002141614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03251302,"about_ca_topic_score_gemma":0.05575789,"domain_scores_codex":[0.998922,0.00018929,0.00009117449,0.0002985069,0.0003695812,0.0001294159],"domain_scores_gemma":[0.9980507,0.0004512584,0.0003851186,0.0001791311,0.0007034097,0.0002304277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002539448,0.0001719827,0.7490484,0.0005791407,0.0001341539,0.0005573755,0.005072696,0.00170495,0.005945333,0.0005952995,0.01036063,0.2255761],"study_design_scores_gemma":[0.0000158553,0.0001201926,0.9614054,0.0001083421,0.00004780818,0.0003372683,0.001880129,0.001029875,0.002846206,0.0002740377,0.03190551,0.00002933893],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9247425,0.001682306,0.005537155,0.0001394216,0.00005638541,0.0005648331,0.02841349,0.0001662811,0.03869766],"genre_scores_gemma":[0.9423485,0.001472416,0.01449733,0.00006411608,0.00005388441,0.0009448568,0.02711764,0.00003162274,0.0134696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03251302,"threshold_uncertainty_score":0.06464756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01232148346422392,"score_gpt":0.2337744945560362,"score_spread":0.2214530110918123,"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."}}