{"id":"W15500529","doi":"10.1111/j.1365-2648.2004.03204.x","title":"Using Boolean truth tables to evaluate property acquisition for private forest investment : a case study in Montreal's rural-urban fringe","year":2010,"lang":"en","type":"dissertation","venue":"Journal of Advanced Nursing","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Zoning; Investment (military); Private property; Reforestation; Property rights; Plot (graphics); Business; Environmental planning; Geography; Forestry; Environmental resource management; Political science; Economics; Engineering; Civil engineering; Mathematics; Law","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":[0.002464882,0.0002982552,0.0001993004,0.001504023,0.001362199,0.001996726,0.0009697861,0.0007832689,0.007645479],"category_scores_gemma":[0.02222679,0.0001561946,0.0002888074,0.002095873,0.0007995798,0.00126983,0.0004114677,0.0004500935,0.0003465201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009881955,"about_ca_system_score_gemma":0.004621161,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5141926,"about_ca_topic_score_gemma":0.7260573,"domain_scores_codex":[0.9986572,0.0006399813,0.0000714359,0.0001332322,0.0003478735,0.0001502749],"domain_scores_gemma":[0.977038,0.01947163,0.0008402423,0.0003834981,0.00191567,0.0003509661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002118513,0.002289152,0.6456436,0.0005291406,0.0001911428,0.006263636,0.01340233,0.08787551,0.01022112,0.02232541,0.01634712,0.1927933],"study_design_scores_gemma":[0.0002963553,0.001466637,0.4352467,0.0001958843,0.000201222,0.0009271203,0.04021895,0.4801151,0.01363248,0.009693184,0.0178041,0.0002022692],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818985,0.00009477268,0.005082802,0.0004921523,0.00001425161,0.0002363737,0.001673541,0.0001378861,0.01036969],"genre_scores_gemma":[0.9874634,0.00005249651,0.01009069,0.00003730987,0.00000318455,0.00005871889,0.0005001264,0.00001585558,0.00177837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4858074,"threshold_uncertainty_score":0.9773368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02386067185616598,"score_gpt":0.3297971088356887,"score_spread":0.3059364369795228,"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."}}