{"id":"W2005051071","doi":"10.1002/macp.200490001","title":"Metal‐ and Metalloid‐Containing Macromolecules Symposium","year":2004,"lang":"en","type":"article","venue":"Macromolecular Chemistry and Physics","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Macromolecule; Polymer science; Section (typography); Library science; Metalloid; Chemistry; Metal; Polymer chemistry; Nanotechnology; Materials science; Organic chemistry; Computer science; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005715693,0.0006038935,0.0002102133,0.0005713876,0.0006034879,0.001197473,0.0004125047,0.0009239462,0.03761502],"category_scores_gemma":[0.0002275974,0.0001325792,0.0003515356,0.000304147,0.0001137612,0.0004738505,0.0007105475,0.0006773595,0.01931073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006766858,"about_ca_system_score_gemma":0.0009531425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005790761,"about_ca_topic_score_gemma":0.001379713,"domain_scores_codex":[0.9998369,0.0000137907,0.000004526134,0.00002589982,0.00007870886,0.00004019898],"domain_scores_gemma":[0.9997597,0.000007620897,0.00001249338,0.000008476336,0.00006846352,0.0001432402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007318031,0.0002841393,0.001227682,0.0007605178,0.00009282678,0.0005719473,0.0001575649,0.0005322238,0.08587576,0.006373734,0.7640328,0.139359],"study_design_scores_gemma":[0.0000216386,0.0001402794,0.002234812,0.00005188262,0.00003206801,0.0002168759,0.00005401559,0.0002561733,0.01756737,0.001046918,0.9783667,0.00001135414],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1289069,0.1333559,0.008964106,0.036108,0.08403395,0.0004447949,0.00394605,0.002129243,0.602111],"genre_scores_gemma":[0.1139695,0.03702238,0.004191864,0.00151444,0.009187629,0.0001057681,0.002904583,0.000227719,0.8308762],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03761502,"threshold_uncertainty_score":0.1258348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005804630005924283,"score_gpt":0.2327320174243778,"score_spread":0.2269273874184535,"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."}}