{"id":"W2163119264","doi":"10.1177/0300985813510138","title":"Invitation to Montreal","year":2013,"lang":"en","type":"article","venue":"Veterinary Pathology","topic":"Medical History and Innovations","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00005466968,0.00005282311,0.00007008649,0.00008925291,0.0001328011,0.00001824404,0.00006501684,0.0000259227,0.007807233],"category_scores_gemma":[0.00003017744,0.00004628905,0.00001670484,0.0000285178,0.0001016079,0.0001315219,0.00002467486,0.00005532743,0.00291911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001025365,"about_ca_system_score_gemma":0.000006199919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001049728,"about_ca_topic_score_gemma":0.00004075724,"domain_scores_codex":[0.9995738,0.00003775349,0.0001195911,0.0001075938,0.00004652666,0.0001147139],"domain_scores_gemma":[0.9997461,0.00002388954,0.00002141826,0.000104657,0.00005372561,0.00005020922],"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":[0.00003228865,0.0001735665,0.00007105691,0.00002779613,0.00001215955,0.0001640418,0.05550152,0.00000334944,0.02282418,0.3641598,0.4815523,0.07547799],"study_design_scores_gemma":[0.0001008525,0.000760417,0.004117093,0.000004466831,0.000002480313,0.00003302757,0.0005558876,0.00002312255,0.00001162572,0.003583058,0.9907232,0.00008479024],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8384236,0.00001441139,0.0001702526,0.001689496,0.0007197452,0.000128746,0.000008490516,0.00005636248,0.1587889],"genre_scores_gemma":[0.9795182,0.000001114074,0.0004241273,0.00525401,0.0003184126,0.0001175253,0.00002677819,0.000007016251,0.01433285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5091709,"threshold_uncertainty_score":0.9978572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06330421601665119,"score_gpt":0.2499761080580116,"score_spread":0.1866718920413604,"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."}}