{"id":"W4232294188","doi":"10.31235/osf.io/5zmxd","title":"An integrative framework for transformative social change: a case in global wildlife trade","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Directorate for Biological Sciences; University of Cambridge; Royal Society","keywords":"Transformative learning; Action (physics); Sustainability; Scope (computer science); Social change; Wildlife; Collective action; Political science; Sociology; Ecology; Computer science; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01195243,0.0009645426,0.0006318655,0.003133926,0.01946539,0.0147005,0.003485554,0.01048167,0.008151078],"category_scores_gemma":[0.007921474,0.0004014456,0.001553802,0.003123132,0.07933804,0.01856035,0.01335693,0.007024294,0.0007291398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01755142,"about_ca_system_score_gemma":0.008772721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01388166,"about_ca_topic_score_gemma":0.01601098,"domain_scores_codex":[0.9909344,0.006352633,0.0001484728,0.0006420584,0.000704491,0.001217813],"domain_scores_gemma":[0.9946832,0.003235063,0.0003880524,0.000618876,0.0004344842,0.0006403171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000003930621,0.00001691937,0.000177349,0.00001501623,0.000002711411,0.0003361526,0.01350958,0.0004392846,0.00003692933,0.9835349,0.0005409046,0.001386349],"study_design_scores_gemma":[0.00002076283,0.00002079975,0.0003491373,0.000139693,0.00001061081,0.0003211045,0.0343903,0.002840939,0.0001033932,0.8932816,0.06850214,0.0000195327],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06740436,0.003502825,0.08933409,0.07812979,0.0004398635,0.0004667979,0.0000708403,0.0001231134,0.7605284],"genre_scores_gemma":[0.9642508,0.0009571086,0.01984978,0.002623676,0.0001378708,0.000409828,0.00003876534,0.00006873283,0.01166335],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01946539,"threshold_uncertainty_score":0.127345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03188948799302245,"score_gpt":0.3165748011259272,"score_spread":0.2846853131329047,"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."}}