{"id":"W2489547851","doi":"10.1007/978-3-662-45067-3_6","title":"Die metallische Bindung","year":2016,"lang":"de","type":"book-chapter","venue":"","topic":"Ferrocene Chemistry and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science","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","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001058726,0.0008950575,0.0006940429,0.00004522638,0.0002704649,0.00008800405,0.0008525334,0.00136648,0.1082836],"category_scores_gemma":[0.00004907558,0.000713005,0.0005937357,0.00002667688,0.000334707,0.00009765316,0.0003340146,0.0008099613,0.02006252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001221395,"about_ca_system_score_gemma":0.000148536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004439315,"about_ca_topic_score_gemma":0.000002820304,"domain_scores_codex":[0.9971198,0.000004958052,0.0007496281,0.001123572,0.0004253393,0.0005766571],"domain_scores_gemma":[0.9971838,0.0002119127,0.0004042608,0.001610286,0.000183162,0.0004065898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004235533,0.0001347972,0.00001342246,0.0007291572,0.001362758,0.00007149583,0.00003525388,7.484888e-7,0.4724925,0.5053467,0.01060709,0.009163803],"study_design_scores_gemma":[0.0002855741,0.000005462643,6.982618e-7,0.0002973863,0.0003588427,0.00001099475,0.00001382729,0.000005338084,0.3397229,0.005869927,0.6527285,0.0007005726],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003114445,0.002702967,0.0002277582,0.00172981,0.0001557343,0.0001550083,0.0004823628,0.0002489503,0.993986],"genre_scores_gemma":[0.02775339,0.002946674,0.0003824089,0.0002164287,0.002057637,0.00007046587,0.0004367092,0.000166709,0.9659696],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6421214,"threshold_uncertainty_score":0.99993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02778521007123411,"score_gpt":0.2421694934445799,"score_spread":0.2143842833733458,"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."}}