{"id":"W233977238","doi":"","title":"IN CANADA: 'Incent' This!","year":2003,"lang":"en","type":"article","venue":"Phi Delta Kappan","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Private sector; Government (linguistics); Finance; Public administration; Incentive; Business; Economics; Economic growth; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002076951,0.00005695662,0.00008521015,0.00002644863,0.0001397745,0.00001826419,0.0001571755,0.00003201904,0.0008477331],"category_scores_gemma":[0.0002541512,0.00006399493,0.00001884894,0.000269349,0.00005944015,0.0001118437,0.000006992511,0.00009163333,0.00004046794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009678247,"about_ca_system_score_gemma":0.003480946,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9995601,"about_ca_topic_score_gemma":0.9999632,"domain_scores_codex":[0.9990973,0.00007759471,0.0001064353,0.0001270756,0.0002257857,0.0003657822],"domain_scores_gemma":[0.9996218,0.00004910402,0.00003621656,0.0001131045,0.00001651435,0.0001632329],"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":[0.000003612159,0.00001655982,0.0133372,0.000004512542,0.000004945424,0.00005941721,0.004101397,0.00001765129,0.000007664486,0.4394953,0.5412255,0.001726268],"study_design_scores_gemma":[0.0001135873,0.000002103635,0.006252068,0.000005738623,0.000001327547,7.801983e-7,0.0003301042,0.00000876138,0.00003105911,0.002344767,0.9908195,0.00009025181],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3665712,0.0006971183,0.000007891099,0.03546841,0.0009185352,0.0002840084,0.000156711,0.00002387184,0.5958722],"genre_scores_gemma":[0.9853235,0.00006695135,0.00002237533,0.005917527,0.0001134442,0.000006026903,7.471632e-7,0.000005124372,0.008544246],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6187524,"threshold_uncertainty_score":0.9282084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01994079333345962,"score_gpt":0.2650683833677874,"score_spread":0.2451275900343278,"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."}}