{"id":"W2936636486","doi":"10.1139/facets-2018-0030","title":"Canadians’ perspectives on how much space nature needs","year":2019,"lang":"en","type":"article","venue":"FACETS","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Parks and Wilderness Society; Vancouver Island University; University of Northern British Columbia","funders":"","keywords":"Timeline; Geography; Set (abstract data type); Public support; Perception; Environmental resource management; Ask price; Space (punctuation); Set-aside; Political science; Environmental planning; Ecology; Public relations; Psychology; Economy; Computer science; Economics; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.00005689952,0.00009653129,0.00009383073,0.00003085613,0.00006095779,0.00004327475,0.0001770966,0.000104901,0.003285826],"category_scores_gemma":[0.000004837763,0.00007190294,0.00003168698,0.0001512488,0.000006807991,0.0001454272,0.00004248438,0.0001511134,0.004798353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001228597,"about_ca_system_score_gemma":0.00000708078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003391631,"about_ca_topic_score_gemma":0.009736852,"domain_scores_codex":[0.9993437,0.00001751774,0.00003977104,0.0002004935,0.0001727014,0.0002258231],"domain_scores_gemma":[0.9996267,0.00001453711,0.00002588835,0.0002314687,0.000003653415,0.00009774747],"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":[0.00005737437,0.0001679714,0.8440031,0.00008920603,0.00008566889,0.00003836853,0.02957476,0.00177007,0.009598159,0.003760697,0.1096663,0.001188384],"study_design_scores_gemma":[0.001059137,0.0003442706,0.3777819,0.00009543298,0.00002087813,0.00001801929,0.04367388,0.001940016,0.005438582,0.0003208604,0.5684637,0.0008432982],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9176943,0.0001053881,7.43776e-7,0.004183405,0.0002348052,0.0001304234,0.00001082602,0.00002746644,0.07761264],"genre_scores_gemma":[0.9935497,0.00001276745,0.0000246428,0.0004604973,0.00005083308,0.000003756802,0.000003781626,0.000009288858,0.005884705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4662212,"threshold_uncertainty_score":0.9976253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003622869293762397,"score_gpt":0.1866497801487541,"score_spread":0.1830269108549917,"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."}}