{"id":"W4240297320","doi":"10.1002/cphc.201600577","title":"Molecular Machines","year":2016,"lang":"en","type":"editorial","venue":"ChemPhysChem","topic":"History and advancements in chemistry","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Chemistry; Nanotechnology; Materials science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000649028,0.0008765156,0.0005956633,0.00110689,0.001571985,0.004294086,0.001512099,0.002799147,0.1118678],"category_scores_gemma":[0.002472322,0.000440921,0.0006523631,0.0008097856,0.002157153,0.005946197,0.003255263,0.00262481,0.06068689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001588803,"about_ca_system_score_gemma":0.001002009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00058294,"about_ca_topic_score_gemma":0.0005879102,"domain_scores_codex":[0.9990404,0.000171926,0.00005319979,0.0002629539,0.0003442198,0.0001272718],"domain_scores_gemma":[0.9993705,0.0001234879,0.00004639249,0.0001936358,0.0001705551,0.00009542026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003710302,0.00002775154,0.000161046,0.000437051,0.00001988244,0.00009630357,0.0002126649,0.0004158246,0.001944516,0.6513648,0.2341314,0.1111518],"study_design_scores_gemma":[0.000005292561,0.00001236512,0.00006119793,0.0000812501,0.000003191541,0.00009428899,0.0000299039,0.0001968298,0.0005774664,0.05523565,0.9436943,0.000008180878],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.002733504,0.05188331,0.0354248,0.02330627,0.02022625,0.000197112,0.001992949,0.00281657,0.8614192],"genre_scores_gemma":[0.08906602,0.05931038,0.03145,0.01617839,0.008843534,0.0006676477,0.003986469,0.001049948,0.7894475],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.1118678,"threshold_uncertainty_score":0.374235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005830186225859094,"score_gpt":0.2589603010673784,"score_spread":0.2531301148415194,"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."}}