{"id":"W2969760471","doi":"10.1088/1751-8121/ab3cb1","title":"Adsorbed self-avoiding walks pulled at an interior vertex","year":2019,"lang":"en","type":"article","venue":"Journal of Physics A Mathematical and Theoretical","topic":"Advanced Polymer Synthesis and Characterization","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; York University","funders":"Australian Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Vertex (graph theory); Adsorption; Neighbourhood (mathematics); Combinatorics; Mathematics; Chemistry; Graph; Mathematical analysis","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":[0.000232607,0.0002776061,0.0005594795,0.0006739682,0.0008457836,0.001470643,0.0005750848,0.0009958005,0.002904791],"category_scores_gemma":[0.0008494378,0.0002494303,0.0005051495,0.000268148,0.00113709,0.000803087,0.0007548879,0.0005495526,0.0003574337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004292911,"about_ca_system_score_gemma":0.0002999213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008564766,"about_ca_topic_score_gemma":0.0009240232,"domain_scores_codex":[0.9998645,0.00002516963,0.000005484274,0.00001540774,0.00003531045,0.00005416493],"domain_scores_gemma":[0.999503,0.0001632905,0.00006027707,0.00006672846,0.0000656417,0.0001410294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001185956,0.0008859395,0.007065148,0.000250512,0.00022187,0.002966039,0.0005921751,0.3488359,0.2309041,0.3966978,0.001293258,0.009101357],"study_design_scores_gemma":[0.0001369092,0.0002772971,0.002449666,0.00005358676,0.00004952715,0.000221898,0.000231846,0.8818416,0.02274223,0.09068032,0.001254229,0.00006098104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787596,0.00006485883,0.01450507,0.0000879946,0.00002638776,0.00001351057,0.0000304313,0.00004078434,0.006471334],"genre_scores_gemma":[0.9947374,0.0000516218,0.002641558,0.00004826074,0.00001180937,0.00001633159,0.00004761504,0.00001739588,0.002427788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002904791,"threshold_uncertainty_score":0.009717524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004968399807574241,"score_gpt":0.2186959171111073,"score_spread":0.2137275173035331,"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."}}