{"id":"W2889783413","doi":"10.1039/c8dt03043j","title":"“Push–push and push–pull” polystannanes","year":2018,"lang":"en","type":"article","venue":"Dalton Transactions","topic":"Polyoxometalates: Synthesis and Applications","field":"Materials Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Push pull; Push and pull; Chemistry; Computer science; Engineering; Electrical engineering; Mechanical engineering","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":[0.0001227027,0.0002349288,0.0001156596,0.0001465091,0.0001102377,0.0001508666,0.0001071406,0.0001660006,0.001235337],"category_scores_gemma":[0.0001658241,0.000118089,0.0001215857,0.0001301513,0.0001165887,0.0002449473,0.0001324012,0.0003094666,0.0003358238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000120376,"about_ca_system_score_gemma":0.0001052452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001217698,"about_ca_topic_score_gemma":0.0003012113,"domain_scores_codex":[0.9999098,0.00001030737,0.000005837737,0.00001783646,0.00003515869,0.00002110194],"domain_scores_gemma":[0.9998901,0.00002280808,0.00003097098,0.00001344469,0.0000152599,0.00002740683],"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":[0.00004621547,0.00001353558,0.0001296515,0.00003357121,0.000001956676,0.00004003184,0.00001245859,0.00008136814,0.9981402,0.0001416304,0.00002545258,0.001334009],"study_design_scores_gemma":[0.000006768698,0.0003315833,0.001606383,0.000003310941,0.000005137773,0.0001827229,0.00001456535,0.0004952407,0.9953535,0.00005054284,0.001944024,0.000006291264],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947861,0.0002483901,0.002541633,0.00002170682,0.00001385448,0.00003367916,0.0002305837,0.0000406701,0.002083246],"genre_scores_gemma":[0.9884875,0.0004084756,0.00725554,0.00002125856,0.00001024507,0.00005403308,0.0002914245,0.0000227978,0.003448589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001235337,"threshold_uncertainty_score":0.004132628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01659361822629482,"score_gpt":0.2531943917798926,"score_spread":0.2366007735535977,"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."}}