{"id":"W4238095599","doi":"10.1503/cmaj.100664","title":"Summer reading","year":2010,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Short Stories in Global Literature","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital","funders":"","keywords":"Computer science; Reading (process); World Wide Web; Data science; Information retrieval; Linguistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[],"category_scores_codex":[0.0008306037,0.0008031348,0.0006304042,0.001536133,0.004086427,0.005133351,0.0009196058,0.001396182,0.5546636],"category_scores_gemma":[0.002610035,0.0002885657,0.0004758759,0.001411036,0.0006980022,0.002239028,0.003447413,0.002083639,0.2574235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001494805,"about_ca_system_score_gemma":0.001921699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002675613,"about_ca_topic_score_gemma":0.01597866,"domain_scores_codex":[0.9992998,0.0001200312,0.00003240787,0.0001400888,0.0002837921,0.0001239755],"domain_scores_gemma":[0.9983725,0.0001304574,0.00006229888,0.0001667661,0.0005146904,0.0007533425],"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":[0.00002780515,0.00001791012,0.00006367332,0.00006003942,0.000001194632,0.00006664608,0.0004015641,0.000009642764,0.0002392435,0.001845185,0.9680198,0.02924715],"study_design_scores_gemma":[0.000002565362,0.000006535158,0.0003626966,0.0000472945,5.277376e-7,0.00002536676,0.0002949976,0.000004404203,0.00003807406,0.0004417718,0.9987739,0.000001821767],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001807954,0.004800193,0.0004626797,0.01124703,0.02708205,0.0001098964,0.00208893,0.0008118942,0.9515894],"genre_scores_gemma":[0.006024951,0.001821132,0.0005236188,0.002228593,0.003569797,0.00004834808,0.001278045,0.0005297976,0.9839756],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5546636,"threshold_uncertainty_score":0.6352183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007667899594178872,"score_gpt":0.2205609502226928,"score_spread":0.212893050628514,"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."}}