{"id":"W7067092498","doi":"","title":"Lawn as a site of environmental conflict","year":2000,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Lawn; Human–wildlife conflict; Conflict management; Context (archaeology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0005343008,0.0001838564,0.0002165364,0.0007477835,0.03276643,0.00613856,0.001139754,0.002888291,0.05804641],"category_scores_gemma":[0.001570678,0.0002040272,0.000157019,0.001286133,0.00397958,0.002537744,0.00464198,0.003705791,0.003349705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009099257,"about_ca_system_score_gemma":0.01207984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3244734,"about_ca_topic_score_gemma":0.7932934,"domain_scores_codex":[0.9993384,0.0001263841,0.00000969939,0.00006975653,0.0002086394,0.0002471075],"domain_scores_gemma":[0.9992118,0.00007824523,0.00005052899,0.00004620208,0.0001601144,0.0004531872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009938452,0.0001865033,0.02421638,0.00009593651,0.00001998639,0.01042084,0.08568718,0.000487236,0.0009125645,0.2296261,0.5604516,0.08779627],"study_design_scores_gemma":[0.000008138126,0.00002492697,0.009837822,0.00009177833,0.000006936435,0.001121541,0.121234,0.0004130708,0.0003910924,0.01071031,0.8561334,0.00002702465],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1725146,0.0006348781,0.001238982,0.04118606,0.0008577547,0.0000674592,0.0004792252,0.0002401858,0.7827809],"genre_scores_gemma":[0.4788713,0.0003782724,0.0009037462,0.004940759,0.00006822745,0.00003059683,0.0001989078,0.0001404472,0.5144679],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3244734,"threshold_uncertainty_score":0.6451694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002397828972684281,"score_gpt":0.1414273550135773,"score_spread":0.139029526040893,"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."}}