{"id":"W2911646408","doi":"10.1093/jue/juz001","title":"Conducting urban ecology research on private property: advice for new urban ecologists","year":2019,"lang":"en","type":"article","venue":"Journal of Urban Ecology","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Private property; Property (philosophy); Work (physics); Space (punctuation); Sample (material); Environmental planning; Business; Environmental resource management; Public relations; Geography; Engineering; Political science; Computer science; Environmental science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002451191,0.0002316683,0.0006235876,0.0002195866,0.0002613413,0.00005790406,0.0008564962,0.0003250746,0.003251605],"category_scores_gemma":[0.0003032937,0.0001472467,0.0001680959,0.0003022761,0.00007909441,0.0004185461,0.0002767941,0.0006418672,0.001683225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005848161,"about_ca_system_score_gemma":0.0001607915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001404959,"about_ca_topic_score_gemma":0.001567149,"domain_scores_codex":[0.9970416,0.0004047998,0.0007933119,0.0004503008,0.0003964854,0.0009134613],"domain_scores_gemma":[0.9976374,0.0009294742,0.0006621422,0.0003691833,0.00009650472,0.0003052751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004184811,0.000255427,0.725545,0.00006734316,0.00008907761,0.00005286111,0.0005492324,0.0009902265,0.001747579,0.0001772681,0.2696504,0.0004570409],"study_design_scores_gemma":[0.004612538,0.01018883,0.2875819,0.00009957908,0.00008157809,0.0003098217,0.0005991958,0.001744968,0.001965828,0.001228082,0.6910745,0.0005131952],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878551,0.00007440132,0.000006024532,0.003265747,0.001454068,0.0007774745,0.000003882312,0.00002714853,0.006536148],"genre_scores_gemma":[0.9897155,0.00002974185,0.000609243,0.001327378,0.0008765385,0.00002280797,0.000003872599,0.00003674759,0.007378172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4379632,"threshold_uncertainty_score":0.9990941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08086914876207894,"score_gpt":0.3146257122729893,"score_spread":0.2337565635109103,"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."}}