{"id":"W7009209554","doi":"","title":"Effects of past land use and landscape context on plant species composition and richness in woodlots of an agricultural landscape in Québec","year":2013,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Species richness; Context (archaeology); Land use; Agricultural land; Agriculture; Land use, land-use change and forestry; Plant species","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":[0.0002658883,0.0001589169,0.0002732888,0.0005408025,0.001573933,0.0008512496,0.0007489192,0.0002704364,0.003261445],"category_scores_gemma":[0.000753135,0.0001749514,0.0002244545,0.001172203,0.0006549344,0.0002987293,0.0003707513,0.000334191,0.0002428195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01034497,"about_ca_system_score_gemma":0.003968217,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9843082,"about_ca_topic_score_gemma":0.9959739,"domain_scores_codex":[0.9997889,0.00003966144,0.000007054422,0.00004776314,0.0000332304,0.00008335736],"domain_scores_gemma":[0.9991947,0.0001325921,0.00009630204,0.00002394337,0.0002421908,0.000310378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002053025,0.00009791374,0.9857326,0.00002540548,0.0001034824,0.0001365829,0.002270114,0.0004067837,0.001768881,0.00009466822,0.001046567,0.008111689],"study_design_scores_gemma":[0.000001958867,0.000008971052,0.9987125,0.000004732929,0.000004804075,0.000008817055,0.0008505346,0.0001981424,0.00002385773,0.000005307367,0.0001777737,0.000002599406],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988185,0.0001045139,0.0000332673,0.00005122208,0.000002523861,0.000004508142,0.0004043696,0.000003241357,0.0005778964],"genre_scores_gemma":[0.9981738,0.0000806773,0.00005273401,0.00002469025,0.000001361716,0.000004498355,0.0002321408,0.000002639687,0.001427498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01569182,"threshold_uncertainty_score":0.07505834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006644363136841976,"score_gpt":0.1925400785657448,"score_spread":0.1858957154289028,"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."}}