{"id":"W37030938","doi":"10.69645/oqql3026","title":"Leukocyte recruitment in vivo","year":2009,"lang":"en","type":"article","venue":"˜The œbiomedical & life sciences collection.","topic":"Immune cells in cancer","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"In vivo; Business; Biology; Biotechnology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001157075,0.0001525017,0.0002195934,0.0002577947,0.0007720267,0.00002924725,0.0006293839,0.0002005452,0.001799386],"category_scores_gemma":[0.0001218225,0.0001013087,0.00007478769,0.001895674,0.001505091,0.00009637141,0.00007986044,0.0003906644,0.0003122892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002233234,"about_ca_system_score_gemma":0.0004318444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001910551,"about_ca_topic_score_gemma":0.0001159348,"domain_scores_codex":[0.9982672,0.0002563359,0.0003857482,0.0003976061,0.0001632763,0.0005298488],"domain_scores_gemma":[0.9993386,0.000229744,0.00009792313,0.0002499889,0.00003572941,0.00004798021],"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":[0.0002314454,0.000567812,0.0007650565,0.000008088741,0.00006463049,0.00001261176,0.001503114,0.00009413282,0.1244415,0.0008768558,0.8434774,0.02795742],"study_design_scores_gemma":[0.001289686,0.0007357483,0.003381872,0.00003434382,0.00001400286,0.0000702698,0.0004583196,0.0001576814,0.01366441,0.001312609,0.9786711,0.0002100135],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5453421,0.06752171,0.004554034,0.1352515,0.0546079,0.007088131,0.00004850339,0.001092926,0.1844933],"genre_scores_gemma":[0.9729782,0.0003641166,0.0001820106,0.006204171,0.0001496141,0.000111611,0.000005652695,0.000007357639,0.0199973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4276361,"threshold_uncertainty_score":0.9991131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03773531043032177,"score_gpt":0.3014961723703619,"score_spread":0.2637608619400401,"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."}}