{"id":"W7098530903","doi":"","title":"HEC Montreal","year":2005,"lang":"en","type":"article","venue":"","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Opposition (politics); Participant observation","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001509788,0.001203719,0.000648431,0.001414935,0.004277211,0.006216771,0.002307383,0.002488426,0.6204128],"category_scores_gemma":[0.005226129,0.0006562299,0.0005928648,0.001340983,0.001760969,0.001766255,0.003273631,0.002247985,0.1984468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008302474,"about_ca_system_score_gemma":0.0131608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2146583,"about_ca_topic_score_gemma":0.3079055,"domain_scores_codex":[0.9967237,0.0004452795,0.00009408859,0.0009604195,0.001269837,0.0005067242],"domain_scores_gemma":[0.9964393,0.0003893816,0.0001571226,0.0005493251,0.00160748,0.0008573289],"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":[0.0003898823,0.000218098,0.003898364,0.0005647974,0.00005155766,0.001314425,0.001086491,0.0009927858,0.002807877,0.09938025,0.5199977,0.369298],"study_design_scores_gemma":[0.00003191186,0.00003505891,0.002294062,0.0001095042,0.000008264609,0.0001519237,0.0002327056,0.0002162125,0.0004799076,0.001829404,0.9945953,0.00001571533],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003598973,0.002209777,0.004235617,0.007361244,0.001413739,0.0002346436,0.003448787,0.001304512,0.9761925],"genre_scores_gemma":[0.01876144,0.001008331,0.002465021,0.0009518915,0.0001501775,0.0001221109,0.001358234,0.0003008333,0.974882],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3795872,"threshold_uncertainty_score":0.5414351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01435696592957942,"score_gpt":0.2345978831470952,"score_spread":0.2202409172175158,"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."}}