{"id":"W2060953686","doi":"10.1002/marc.201100528","title":"Polymers for Anion Recognition and Sensing","year":2011,"lang":"en","type":"review","venue":"Macromolecular Rapid Communications","topic":"Molecular Sensors and Ion Detection","field":"Chemistry","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Polymer; Ion; Polymer science; Materials science; Polymer chemistry; Computer science; Chemistry; Organic chemistry; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001967565,0.0003910624,0.000721393,0.0001807226,0.0004092492,0.00009103428,0.0004957319,0.0004252353,0.0002264847],"category_scores_gemma":[0.00008991978,0.0004120135,0.000486608,0.0002009554,0.0001489105,0.00005530357,0.0002878096,0.0004339804,0.00004292551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006975703,"about_ca_system_score_gemma":0.00006762776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006186544,"about_ca_topic_score_gemma":0.00000912968,"domain_scores_codex":[0.9984366,0.0001943366,0.0005418407,0.0004559436,0.00009945553,0.0002718748],"domain_scores_gemma":[0.9973322,0.0001501802,0.0004154358,0.001903435,0.0001069835,0.00009176514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004202914,0.00003292301,1.331684e-8,0.002412214,0.0001454943,0.000002058085,0.00004985091,1.076344e-8,0.0005327427,0.00009792155,0.00005130679,0.9966713],"study_design_scores_gemma":[0.0002047901,0.00002734827,3.550985e-8,0.0026361,0.0008435142,0.0002034839,0.000029123,0.0001040488,0.0006503282,0.0003267354,0.9945328,0.0004417003],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000008790754,0.9900678,0.003041441,0.00002939353,0.00007156998,0.0004505865,0.0001949798,0.0001260531,0.006009417],"genre_scores_gemma":[0.00005305452,0.9912516,0.006124586,0.0000425615,0.00004799592,0.0001505026,0.001918161,0.0001244018,0.0002871031],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9962296,"threshold_uncertainty_score":0.9998332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1209158584448754,"score_gpt":0.3150749551919212,"score_spread":0.1941590967470458,"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."}}