{"id":"W2058133446","doi":"10.13031/2013.42473","title":"Harvest of Natural Shrubs with a Biobaler in Various Environments in Québec, Ontario and Minnesota","year":2012,"lang":"en","type":"article","venue":"Applied Engineering in Agriculture","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Agriculture and Agri-Food Canada","funders":"Natural Resources Canada; Canadian Natural Resources Limited","keywords":"Environmental science; Understory; Willow; Biomass (ecology); Basal area; Agronomy; Forestry; Crop; Agroforestry; Canopy; Geography; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004919563,0.0001598289,0.0001605811,0.0001287855,0.000005097343,0.000008414198,0.0000659128,0.00007685632,0.00001312521],"category_scores_gemma":[0.000001950642,0.0001240083,0.000009680413,0.0002879541,0.00001279398,0.0001074418,0.00002720221,0.0001687189,0.000003045343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002201793,"about_ca_system_score_gemma":0.000005066457,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002978197,"about_ca_topic_score_gemma":0.144104,"domain_scores_codex":[0.999381,0.000002698585,0.0001726904,0.0001155472,0.00009135397,0.0002366877],"domain_scores_gemma":[0.9998424,0.000008675209,0.00001627987,0.00008694454,0.000002219299,0.0000434734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004289708,0.000325762,0.5656165,0.000426282,0.00008517129,0.0000269154,0.007294581,0.3688106,0.04845605,0.005918195,0.0007912077,0.002205884],"study_design_scores_gemma":[0.0008786833,0.00001059132,0.9723179,0.00005521805,0.000006561205,0.000004412188,0.00008509644,0.001784176,0.001141589,0.000002483723,0.02348302,0.0002302003],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970718,0.0007018045,0.0004272962,0.000021164,0.00006819796,0.0002756687,0.000001204972,0.00004497273,0.001387895],"genre_scores_gemma":[0.998925,0.00009258842,0.0007757744,0.00001165354,0.00001069955,0.00004682866,0.00001605411,0.00001465761,0.0001067486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4067015,"threshold_uncertainty_score":0.8715138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002237759201535937,"score_gpt":0.1343701233730378,"score_spread":0.1321323641715019,"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."}}