{"id":"W2102770744","doi":"10.1002/1099-1395(200012)13:12<858::aid-poc318>3.0.co;2-s","title":"Building molecular frameworks with tailored pore structures","year":2000,"lang":"en","type":"article","venue":"Journal of Physical Organic Chemistry","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Minnesota; National Science Foundation","keywords":"Supramolecular chemistry; Nanotechnology; Chemistry; Molecular recognition; Lamellar structure; Hydrogen bond; Molecule; Materials science; Crystallography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0001448596,0.0003555684,0.0002776614,0.000369244,0.0002592526,0.0007229579,0.0007873069,0.0004885296,0.001854311],"category_scores_gemma":[0.0003765268,0.0002435245,0.000281213,0.0002539154,0.0003957179,0.0007975199,0.0005891153,0.0006604607,0.0006030883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005453447,"about_ca_system_score_gemma":0.0002875978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004921678,"about_ca_topic_score_gemma":0.001400941,"domain_scores_codex":[0.9999084,0.000009927094,0.00000452563,0.00002249752,0.00001802139,0.00003656932],"domain_scores_gemma":[0.9998895,0.00002984763,0.00002617652,0.0000196608,0.00001031621,0.00002442791],"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":[0.0001521718,0.0001509867,0.0004229269,0.00044478,0.00006577898,0.0003108408,0.0001262473,0.01382142,0.8959996,0.05140926,0.001648197,0.03544778],"study_design_scores_gemma":[0.0001660936,0.0005845373,0.00145667,0.0000639818,0.00008902209,0.0006837233,0.00006769958,0.04677983,0.8566253,0.01029756,0.08307516,0.0001104051],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8848859,0.00541405,0.07517339,0.0005547482,0.0002552397,0.0002125692,0.0006845279,0.002834335,0.02998513],"genre_scores_gemma":[0.9671991,0.001638879,0.02785458,0.0001310802,0.00002937242,0.0001078077,0.0002969521,0.0001087619,0.002633404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001854311,"threshold_uncertainty_score":0.006203234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004315952771181211,"score_gpt":0.2259702904317034,"score_spread":0.2216543376605221,"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."}}