{"id":"W2734610877","doi":"10.1021/acs.joc.7b01333","title":"Predictably Ordered Open Hydrogen-Bonded Networks Built from Indeno[1,2-<i>b</i>]fluorenes","year":2017,"lang":"en","type":"article","venue":"The Journal of Organic Chemistry","topic":"Luminescence and Fluorescent Materials","field":"Materials Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Université de Montréal; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Cruciform; Fluorene; Chemistry; Modular design; Conjugated system; Molecule; Rational design; Hydrogen bond; Luminescence; Combinatorial chemistry; Topology (electrical circuits); Nanotechnology; Polymer; Organic chemistry; Optoelectronics; Materials science; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001298869,0.0002396283,0.0004910756,0.00001275126,0.000596406,0.0008148784,0.004548234,0.0001725137,0.005975278],"category_scores_gemma":[0.0004486557,0.0001550747,0.00008519628,0.00004946504,0.0002834453,0.0006260815,0.001064098,0.0002731384,0.00007024399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006706588,"about_ca_system_score_gemma":0.0002848027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002291251,"about_ca_topic_score_gemma":0.0000317673,"domain_scores_codex":[0.998159,0.00008992495,0.0006905867,0.0002159524,0.0004446495,0.0003999065],"domain_scores_gemma":[0.9969289,0.00009951715,0.001396787,0.001172367,0.0002155007,0.0001869441],"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":[0.0002642759,0.0000678613,0.001621765,0.00001639378,0.00004571565,0.00003109969,0.0002082788,0.00001608711,0.9946622,0.000001094094,0.002932703,0.0001324839],"study_design_scores_gemma":[0.001168829,0.00003715869,0.001988265,0.0001562843,0.00013241,0.00017061,0.0001279428,0.0000522707,0.9949361,0.0004269851,0.0006096927,0.0001934685],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969739,0.0005440862,0.0001468327,0.0007735703,0.0007976103,0.0001429429,0.00003074923,0.00002125891,0.0005690575],"genre_scores_gemma":[0.997372,0.0002830775,0.0002262557,0.000135925,0.00150988,0.000002120764,0.000007106659,0.00003517774,0.000428454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005905034,"threshold_uncertainty_score":0.9949334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01959232710164268,"score_gpt":0.2631603619756493,"score_spread":0.2435680348740067,"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."}}