{"id":"W6921588099","doi":"10.7939/r3ff24","title":"FFP Winnipeg Workshop, 2008 10 21 - Results of Scenario Discussions","year":2008,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Perspective (graphical); Data collection; Work (physics); Agency (philosophy)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00660906,0.0009091452,0.0007818811,0.0006700672,0.002160095,0.003904464,0.002005745,0.001831454,0.03525285],"category_scores_gemma":[0.008167234,0.0003994535,0.000844749,0.001129779,0.000434787,0.001157985,0.0015394,0.001317647,0.00651836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00965152,"about_ca_system_score_gemma":0.01082686,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4987097,"about_ca_topic_score_gemma":0.6367152,"domain_scores_codex":[0.9978314,0.0008206359,0.00003573267,0.0001353763,0.000816595,0.000360261],"domain_scores_gemma":[0.9976743,0.0006373205,0.00004476814,0.0001410442,0.001168552,0.0003340753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006177194,0.0006827288,0.008281228,0.0005179236,0.0001911838,0.001235409,0.002266193,0.1064562,0.004379115,0.02803393,0.746058,0.09572081],"study_design_scores_gemma":[0.000946198,0.0004411776,0.02142797,0.0002246746,0.0001568393,0.0001003582,0.005054155,0.03305952,0.005334165,0.01306215,0.9200568,0.0001360196],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2329097,0.001837198,0.01608689,0.02330132,0.002348979,0.003064726,0.1073803,0.001416479,0.6116544],"genre_scores_gemma":[0.5689409,0.001480891,0.02796409,0.00251445,0.0001942753,0.001823877,0.06445312,0.001409344,0.3312191],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5012903,"threshold_uncertainty_score":0.9916137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06103150715970644,"score_gpt":0.2631405911095002,"score_spread":0.2021090839497937,"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."}}