{"id":"W4230915759","doi":"10.1002/0470037849.ch1","title":"Introduction","year":2006,"lang":"en","type":"other","venue":"Wiley series in probability and statistics","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008504445,0.0008905291,0.000657853,0.001293419,0.0008548297,0.003331518,0.00149089,0.001860011,0.3809288],"category_scores_gemma":[0.004356153,0.0004278565,0.0005661095,0.001465327,0.0006072321,0.003256397,0.0018196,0.002040105,0.2453385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009981233,"about_ca_system_score_gemma":0.001412685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001183274,"about_ca_topic_score_gemma":0.001509028,"domain_scores_codex":[0.9991841,0.0001078413,0.0000399212,0.0002200523,0.0003879984,0.00006012443],"domain_scores_gemma":[0.9985816,0.0004379318,0.00007343891,0.0002290319,0.0005506364,0.0001273053],"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":[0.00002724723,0.00004602579,0.000288943,0.0003259408,0.00000521225,0.0000878238,0.0001671022,0.0004812957,0.0006126491,0.09928907,0.6249171,0.2737514],"study_design_scores_gemma":[0.000001923801,0.000009184262,0.0002121251,0.000111407,0.000002264261,0.00009710181,0.00003309983,0.000135019,0.0001421783,0.01658211,0.9826686,0.000004923309],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00140277,0.01295168,0.05774325,0.01063555,0.01246555,0.0002687847,0.005691945,0.002200176,0.8966403],"genre_scores_gemma":[0.007746194,0.008983525,0.01821341,0.00295541,0.004708617,0.0001973015,0.00577481,0.0008237108,0.9505969],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6190711,"threshold_uncertainty_score":0.8830299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008954650267513027,"score_gpt":0.2295883176793518,"score_spread":0.2206336674118388,"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."}}