{"id":"W1963630755","doi":"10.1016/j.techfore.2010.08.008","title":"Suspending disbelief: Influencing engagement in scenarios of forest futures","year":2010,"lang":"en","type":"article","venue":"Technological Forecasting and Social Change","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Dalhousie University","keywords":"Futures contract; Popularity; Scenario planning; Psychology; Scenario analysis; Marketing; Business; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004679329,0.0001152796,0.0001607255,0.00009001428,0.0002276357,0.00001826307,0.0001876293,0.0001642086,0.0004239782],"category_scores_gemma":[0.0001247641,0.0000947483,0.00003439408,0.0002710714,0.0003791362,0.0001082674,0.0004206633,0.0003734878,0.00001927023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003194771,"about_ca_system_score_gemma":0.000001615291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001037358,"about_ca_topic_score_gemma":0.002472187,"domain_scores_codex":[0.9991517,0.00002224068,0.0001795982,0.0001981568,0.0001512146,0.0002970576],"domain_scores_gemma":[0.9997498,0.00004837438,0.00008071249,0.00008893766,0.000003267263,0.0000289273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001549018,0.00008338152,0.8338713,0.0000530017,0.000006846269,0.00001756835,0.00809662,0.00001754291,0.002629805,0.03521363,0.0001917326,0.1198031],"study_design_scores_gemma":[0.0007373463,0.000214873,0.9672748,0.0000620463,0.00002320105,0.000006058078,0.001753072,0.004444824,0.000405663,0.01213642,0.0124322,0.0005095287],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993676,0.00001414382,0.000004794903,0.0003967881,0.00005268588,0.0002146292,0.000001842444,0.00008627921,0.0055528],"genre_scores_gemma":[0.9992213,0.000009962697,0.0004635341,0.00008409207,0.00009157172,0.00003299228,0.000002971043,0.00000753002,0.00008605475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1334035,"threshold_uncertainty_score":0.4642264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06039428719124219,"score_gpt":0.2694201803202811,"score_spread":0.209025893129039,"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."}}