{"id":"W4378714750","doi":"10.3844/ojbsci.2023.264.275","title":"Effects of Electronic Cigarette E-Liquids on the Adhesion and Growth of Osteoblast Cells","year":2023,"lang":"en","type":"article","venue":"OnLine Journal of Biological Sciences","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Université Laval","keywords":"Osteoblast; Trypan blue; Nicotine; Adhesion; Chemistry; Cytotoxicity; Cell adhesion; Cell growth; Electronic cigarette; Cell; Biochemistry; Organic chemistry; Internal medicine; In vitro; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003084301,0.0004707988,0.0005781419,0.00023277,0.0002512864,0.0003122024,0.0001936822,0.0004271967,0.001947244],"category_scores_gemma":[0.0002982489,0.0002101811,0.0005115979,0.0003671616,0.0001807085,0.0002376289,0.0003477964,0.0005947137,0.000379469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001532444,"about_ca_system_score_gemma":0.0003114066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002146317,"about_ca_topic_score_gemma":0.003604788,"domain_scores_codex":[0.9994891,0.0001046828,0.00007126395,0.00005464893,0.0001824361,0.00009791023],"domain_scores_gemma":[0.9997438,0.00008992291,0.00003061914,0.0000192236,0.000088195,0.000028218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001074565,0.0006488825,0.001863398,0.00045527,0.00004372628,0.0004141045,0.0002302901,0.0001614641,0.9850414,0.0001208086,0.0002649437,0.009681137],"study_design_scores_gemma":[0.0001345591,0.007250427,0.0358138,0.00007390507,0.0001647807,0.0003702047,0.0006855718,0.001239436,0.9472132,0.0001115264,0.006910806,0.00003180983],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873524,0.006176895,0.000738955,0.0002078754,0.0001492526,0.00008556841,0.0004717438,0.00001760509,0.004799726],"genre_scores_gemma":[0.9847933,0.006831736,0.001826695,0.00040228,0.0000588076,0.0001771347,0.0007816714,0.00001103675,0.005117439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002146317,"threshold_uncertainty_score":0.006514192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01450034759503107,"score_gpt":0.30770626292172,"score_spread":0.2932059153266889,"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."}}