{"id":"W2033114755","doi":"10.4161/cbt.6.6.4558","title":"Think big and think small","year":2007,"lang":"en","type":"article","venue":"Cancer Biology & Therapy","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Smiths Detection (Canada)","funders":"University of California, San Francisco","keywords":"Medicine; Psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.01011628,0.000916452,0.0008203877,0.001763706,0.005649961,0.01322651,0.001209655,0.007469006,0.03035685],"category_scores_gemma":[0.03432554,0.0005717011,0.000603219,0.001112223,0.02318191,0.0164777,0.004532518,0.01665797,0.01455177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004258172,"about_ca_system_score_gemma":0.008252909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002779955,"about_ca_topic_score_gemma":0.004324657,"domain_scores_codex":[0.991152,0.003586701,0.0003249211,0.0009534064,0.003309868,0.000673141],"domain_scores_gemma":[0.957436,0.02132541,0.002091912,0.003422073,0.007758959,0.007965742],"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":[0.00007243015,0.00005699112,0.001203287,0.0002181113,0.00005186983,0.00006860741,0.002530397,0.00013308,0.0004086931,0.2741484,0.6734167,0.0476914],"study_design_scores_gemma":[0.0000579894,0.00003211979,0.0007428234,0.0003257698,0.00003993692,0.00008934971,0.003338626,0.0002340912,0.0003996572,0.431275,0.5634201,0.00004446728],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002020113,0.006724095,0.009231769,0.8517464,0.02239208,0.00004397189,0.000109134,0.000272746,0.1074597],"genre_scores_gemma":[0.1443489,0.008506655,0.01498515,0.6421369,0.01853377,0.0003435939,0.0001881813,0.000786699,0.1701702],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03035685,"threshold_uncertainty_score":0.1015538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03092107886045476,"score_gpt":0.3038258622091985,"score_spread":0.2729047833487438,"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."}}