{"id":"W4385692888","doi":"10.1016/j.landurbplan.2023.104862","title":"‘Bonkers but good!’ – Using illustration-based interview methods to understand land management and conservation visions","year":2023,"lang":"en","type":"article","venue":"Landscape and Urban Planning","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Agencia Estatal de Investigación; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Bundesministerium für Bildung und Forschung; Svenska Forskningsrådet Formas; National Park Service; European Commission; Biodiversa+; Vetenskapsrådet; National Science Foundation","keywords":"Vision; Credibility; Public relations; Thematic analysis; Participant observation; Framing (construction); Qualitative research; Sociology; Environmental resource management; Computer science; Knowledge management; Political science; Engineering; Social science","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":[],"consensus_categories":[],"category_scores_codex":[0.0003880521,0.000111352,0.0001352385,0.00007404672,0.0002141435,0.00009312243,0.00006512002,0.00004395267,0.00009803771],"category_scores_gemma":[0.00000464283,0.00008899533,0.00001814886,0.0002684756,0.00001080473,0.0001361652,0.0000984938,0.00004662011,0.00003125647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002033477,"about_ca_system_score_gemma":0.000003820385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008710731,"about_ca_topic_score_gemma":0.00008739399,"domain_scores_codex":[0.9992376,0.00005373566,0.0001571251,0.0002429548,0.0001156228,0.0001929798],"domain_scores_gemma":[0.9996521,0.00008441953,0.00004566869,0.0001075747,0.000004069076,0.0001061249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001808815,0.000008322638,0.9883929,0.0001188683,0.00002404275,0.00002078417,0.001006041,0.005598627,0.0002473166,0.00003606834,0.003778697,0.0007502703],"study_design_scores_gemma":[0.00117662,0.0001292879,0.4935996,0.000557009,0.000126462,0.00001685592,0.005578976,0.4745006,0.0001880048,0.0002819276,0.02335116,0.0004934539],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914721,0.000255681,0.005805678,0.0004703171,0.00007693005,0.0001891306,0.0000091391,0.00006343891,0.001657605],"genre_scores_gemma":[0.99405,0.00003507827,0.004844674,0.0007927188,0.00003009189,0.000005179227,0.00003339709,0.00001169306,0.000197119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4947932,"threshold_uncertainty_score":0.3629124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0582552740422124,"score_gpt":0.3038265573398552,"score_spread":0.2455712832976428,"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."}}