{"id":"W2035384693","doi":"10.17323/1995-459x.2007.2.68.77","title":"Two levels of Foresight in Canada","year":2007,"lang":"en","type":"article","venue":"Foresight-Russia","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Futures studies; Computer science; Artificial intelligence","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":[0.005104686,0.0003222291,0.0003360028,0.002743778,0.01293174,0.01426247,0.001219146,0.001215212,0.006094586],"category_scores_gemma":[0.01182445,0.0003721951,0.0004934848,0.003572477,0.00499829,0.002739007,0.00369156,0.002464999,0.0003156108],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1677451,"about_ca_system_score_gemma":0.2750195,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.987253,"about_ca_topic_score_gemma":0.9923125,"domain_scores_codex":[0.9904405,0.001189761,0.0002331755,0.0004340099,0.004210686,0.003491808],"domain_scores_gemma":[0.9889781,0.00203057,0.000459726,0.000400857,0.005108885,0.003021964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002400255,0.0001092598,0.03301121,0.0001810267,0.0000781696,0.001154261,0.01820264,0.01476059,0.0007791152,0.7727107,0.03457633,0.1241968],"study_design_scores_gemma":[0.00006777652,0.000120013,0.08743533,0.0006667931,0.0001006008,0.0002927199,0.05043083,0.01686551,0.001956741,0.1196097,0.7219937,0.0004603014],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2802238,0.004052907,0.008964108,0.04268565,0.0002371889,0.0003034754,0.001043206,0.0002119737,0.6622778],"genre_scores_gemma":[0.9635566,0.0009621749,0.003366666,0.0005872202,0.00001196402,0.00003099925,0.0001658064,0.00002284582,0.03129577],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8322549,"threshold_uncertainty_score":0.9652977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1558605473076143,"score_gpt":0.4544509423186869,"score_spread":0.2985903950110727,"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."}}