{"id":"W7072085278","doi":"","title":"Working the landscape : Cultures of labour in the British Columbia tree planting sector","year":2010,"lang":"en","type":"other","venue":"OpenGrey (Institut de l'Information Scientifique et Technique)","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Tree (set theory); Tree planting; Work (physics); Agriculture; Sowing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002424736,0.0002919579,0.000278572,0.001621795,0.03198303,0.01261471,0.001648577,0.001600119,0.007949869],"category_scores_gemma":[0.004579043,0.0003700487,0.000109469,0.004976864,0.01194661,0.003253869,0.004997476,0.003565076,0.0006195023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03445131,"about_ca_system_score_gemma":0.04995991,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9316988,"about_ca_topic_score_gemma":0.981051,"domain_scores_codex":[0.9970509,0.001092578,0.00005888712,0.0001520231,0.00062641,0.001019276],"domain_scores_gemma":[0.9939347,0.00162254,0.0003676208,0.0002254598,0.000946753,0.002902904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004181729,0.00005905423,0.01621364,0.00003139048,0.000004637516,0.0004354529,0.9395066,0.00007457006,0.0002879672,0.007947946,0.01285469,0.02254208],"study_design_scores_gemma":[0.000002059321,0.000005540999,0.01729828,0.00007727367,0.000001710774,0.00003804118,0.9519867,0.00005696641,0.000033748,0.0005744853,0.02991109,0.00001403784],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8842975,0.002326677,0.0002840824,0.0129648,0.0001056479,0.00003066487,0.0001217523,0.0000134553,0.09985542],"genre_scores_gemma":[0.9599079,0.001531559,0.0001819286,0.0009462374,0.000009987625,0.00003123165,0.00006124491,0.00003240661,0.03729753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0683012,"threshold_uncertainty_score":0.2499629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01134658159531718,"score_gpt":0.2386936474974513,"score_spread":0.2273470659021341,"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."}}