{"id":"W4387375435","doi":"10.26434/chemrxiv-2023-1vnnr","title":"Rigid PN Cages as 3-Dimensional Building Blocks for Crystalline or Amorphous Networked Materials","year":2023,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Memorial University of Newfoundland; Dalhousie University","funders":"American Chemical Society Petroleum Research Fund; Dalhousie University; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Fonds de recherche du Québec – Nature et technologies; Alfred P. Sloan Foundation","keywords":"Synthon; Amorphous solid; Context (archaeology); Materials science; Covalent bond; Curse of dimensionality; Porosity; Nanotechnology; Reticular connective tissue; Yield (engineering); Crystallography; Chemistry; Computer science; Organic chemistry; Composite material","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":[0.000088637,0.0002142948,0.00009408487,0.0001455808,0.0001590738,0.000320517,0.0002089036,0.0002250813,0.002303121],"category_scores_gemma":[0.0001338491,0.0001036743,0.0001059951,0.0001175368,0.0002162927,0.0004580749,0.000327624,0.0002784052,0.0006145203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000202756,"about_ca_system_score_gemma":0.0001110966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000253014,"about_ca_topic_score_gemma":0.0007269966,"domain_scores_codex":[0.999961,0.000007301855,0.000002003212,0.0000095716,0.00001224393,0.000007843818],"domain_scores_gemma":[0.999961,0.000008988943,0.000008183635,0.00001125444,0.000002678592,0.000007892411],"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":[0.0000735642,0.00003042373,0.0003733815,0.000220646,0.00001418017,0.0002643316,0.00008856264,0.006950947,0.8936083,0.07382509,0.00133372,0.02321668],"study_design_scores_gemma":[0.00002525289,0.0002476182,0.001341742,0.00003301283,0.00001321966,0.0004741553,0.00005335606,0.02319007,0.892621,0.01289649,0.06906623,0.00003794207],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8789623,0.003034882,0.0837453,0.0004011639,0.0001324544,0.00007140735,0.000809914,0.001359271,0.03148333],"genre_scores_gemma":[0.966795,0.001191132,0.02758525,0.00005673172,0.00002027502,0.00004553573,0.0003776225,0.0001200209,0.003808305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002303121,"threshold_uncertainty_score":0.007704735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04037014162751888,"score_gpt":0.2925301506667476,"score_spread":0.2521600090392287,"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."}}