{"id":"W6923346674","doi":"10.1371/journal.pone.0137084.g008","title":"Molecular structures of the gap junction inhibitors: A) carbenoxolone, B) mefloquine, and C) meclofenamic acid.","year":2015,"lang":"en","type":"other","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gap junction; Noise (video); Context (archaeology); Line (geometry)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003313658,0.001439284,0.001109084,0.0008218885,0.00113178,0.0008399508,0.002958865,0.001303185,0.1004186],"category_scores_gemma":[0.0004702541,0.001081822,0.001081093,0.001071236,0.0004968148,0.0009365871,0.0005456101,0.002323968,0.08136227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001305543,"about_ca_system_score_gemma":0.001173862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003577072,"about_ca_topic_score_gemma":0.006229901,"domain_scores_codex":[0.9997113,0.00003440701,0.00002304633,0.00006250111,0.000106418,0.00006231702],"domain_scores_gemma":[0.9998749,0.00001857098,0.00001703142,0.00002607523,0.00002656281,0.00003678235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001074513,0.0002615851,0.0002213207,0.001513536,0.00009976954,0.0003832323,0.0001324,0.002486091,0.8354586,0.01231941,0.1211782,0.02487124],"study_design_scores_gemma":[0.0005057771,0.0003649711,0.001302961,0.000102683,0.0001367288,0.000471998,0.00004933797,0.003266069,0.4339896,0.002130506,0.5575753,0.0001041004],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.1621625,0.03235763,0.200402,0.005206919,0.00554227,0.003183309,0.2993621,0.01949727,0.272286],"genre_scores_gemma":[0.2416365,0.02406359,0.1384058,0.001785941,0.000235381,0.003231923,0.2837249,0.004180179,0.3027358],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1004186,"threshold_uncertainty_score":0.3359337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02723244266087075,"score_gpt":0.2591716700064431,"score_spread":0.2319392273455723,"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."}}