{"id":"W7062579866","doi":"","title":"Synthesized ecological design recommendations for the optimization of biodiversity on golf courses with an application to southern Ontario","year":2022,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Advanced Power Generation Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biodiversity; Urbanization; Scale (ratio); Population; Deforestation (computer science); Land use","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002037081,0.0001538912,0.0002135435,0.0001373726,0.0004307475,0.000009167436,0.0006007841,0.000124069,0.0002777745],"category_scores_gemma":[0.00002891663,0.0001254311,0.00007359763,0.0002496882,0.00006550721,0.00008663036,0.00003862372,0.0001944189,0.000006584785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002193299,"about_ca_system_score_gemma":0.00007491958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001149525,"about_ca_topic_score_gemma":0.01207031,"domain_scores_codex":[0.9993423,0.00005585511,0.0001230278,0.0001973481,0.0001627762,0.0001187356],"domain_scores_gemma":[0.998898,0.0003261427,0.0002037757,0.0004024954,0.0001441027,0.0000254944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006855375,0.00005799879,0.00002013758,0.00002458433,0.0001157738,2.988359e-7,0.004757443,0.9880051,0.001802362,0.0002152352,0.00167068,0.002644839],"study_design_scores_gemma":[0.005022574,0.006500028,0.01811538,0.0001953497,0.003636453,0.000006551947,0.5627162,0.3207402,0.01841909,0.001549944,0.060499,0.002599194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1114845,0.00007484927,0.8831413,0.00154089,0.0002504834,0.002453706,0.0004939288,0.0003342605,0.0002260185],"genre_scores_gemma":[0.9184784,0.0001602512,0.07739019,0.00004843106,0.00002501563,0.00004351262,0.001650014,0.00003930751,0.002164922],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8069938,"threshold_uncertainty_score":0.6735514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02243698745979643,"score_gpt":0.2274059895529966,"score_spread":0.2049690020932001,"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."}}