{"id":"W2520875315","doi":"10.1002/jmr.2556","title":"Sixth International AFM BioMed Conference on AFM in life sciences and medicine, December 13 to 17, 2014, San Diego, California","year":2016,"lang":"en","type":"editorial","venue":"Journal of Molecular Recognition","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, San Diego","keywords":"Atomic force microscopy; Library science; China; Political science; Nanotechnology; Law","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":[0.004730713,0.001398662,0.0007908146,0.00223789,0.001697129,0.004273324,0.001588413,0.00233088,0.1512558],"category_scores_gemma":[0.003330383,0.0005136937,0.0008865619,0.001107154,0.00072692,0.002051634,0.004110001,0.003182025,0.07369708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001801855,"about_ca_system_score_gemma":0.004903593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002452105,"about_ca_topic_score_gemma":0.009740827,"domain_scores_codex":[0.9977719,0.0003354236,0.0001152756,0.0003751831,0.00110094,0.0003012989],"domain_scores_gemma":[0.9969437,0.000175813,0.0001378323,0.0001475018,0.001629039,0.0009661146],"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":[0.0000592548,0.00005306802,0.0003119404,0.0002457986,0.00001270421,0.00006691353,0.00007245145,0.00008171472,0.001439039,0.001493206,0.9155492,0.08061469],"study_design_scores_gemma":[0.00000787836,0.00002590838,0.0006093631,0.0001263822,0.000006253836,0.00009214421,0.00005814938,0.00009185432,0.0003241714,0.000350916,0.9982998,0.000007201761],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.005968241,0.1094502,0.02878947,0.07200171,0.2437536,0.00109117,0.004576847,0.004650836,0.529718],"genre_scores_gemma":[0.01534254,0.051313,0.0144138,0.01092572,0.02730587,0.0009689061,0.005823924,0.001240967,0.8726653],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.1512558,"threshold_uncertainty_score":0.506001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.014556068245173,"score_gpt":0.3218147376169158,"score_spread":0.3072586693717428,"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."}}