{"id":"W7019231313","doi":"","title":"Gap junctional communication in lung cancer cells","year":2000,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Lung cancer; Cancer; Lung; Disease; Cell culture; Cancer cell; Immune system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002086832,0.0002694858,0.0003848536,0.0009216461,0.001344339,0.001662838,0.001108425,0.0008342778,0.05773557],"category_scores_gemma":[0.000354804,0.0001685884,0.0002274876,0.0008825602,0.0003522229,0.0004261459,0.0005051102,0.0007013502,0.01303926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005416442,"about_ca_system_score_gemma":0.005098205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1992238,"about_ca_topic_score_gemma":0.366754,"domain_scores_codex":[0.9997832,0.000009541338,0.000005561455,0.00001503608,0.0001289408,0.00005764373],"domain_scores_gemma":[0.9997554,0.00002911152,0.000009338969,0.00001842837,0.0001109876,0.00007680566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001063793,0.0005643353,0.002122269,0.001386872,0.0000413232,0.001514672,0.000426557,0.001475247,0.100616,0.03333487,0.5592,0.298254],"study_design_scores_gemma":[0.0001174281,0.0002298765,0.02681879,0.000262729,0.00005868084,0.0004869243,0.0007088167,0.001903785,0.04207265,0.004015218,0.9232965,0.00002862179],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08779992,0.04369231,0.002353004,0.005293677,0.001194815,0.0002908645,0.01164536,0.0009034391,0.8468266],"genre_scores_gemma":[0.1585731,0.01301136,0.00155234,0.0005679684,0.00008208152,0.0001068409,0.004564164,0.0001560699,0.8213862],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1992238,"threshold_uncertainty_score":0.3961285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003946738041886793,"score_gpt":0.1635977636361524,"score_spread":0.1596510255942656,"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."}}