{"id":"W7024121931","doi":"","title":"Sammenlikning av ulike beregningsmetoder for skjærdimensjonering i spennarmerte betongbjelker","year":2016,"lang":"no","type":"other","venue":"BIBSYS Brage (BIBSYS (Norway))","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Eurocode; tar (computing); Health professionals; Joint (building)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002946181,0.001713214,0.0009426304,0.001419712,0.001356727,0.007954688,0.002401449,0.002153012,0.04354709],"category_scores_gemma":[0.008879576,0.001221183,0.002874738,0.001559214,0.001305573,0.005270483,0.004883931,0.003376908,0.01746801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004344712,"about_ca_system_score_gemma":0.008990903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0819496,"about_ca_topic_score_gemma":0.07677477,"domain_scores_codex":[0.995663,0.0007746731,0.0003217894,0.0007761632,0.002113835,0.0003505786],"domain_scores_gemma":[0.9968521,0.0009017568,0.0002299042,0.0005400351,0.001272055,0.0002042248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001241394,0.0007859171,0.02360218,0.003400683,0.0004167944,0.0009157966,0.006158955,0.26848,0.01786988,0.133734,0.2166524,0.3267421],"study_design_scores_gemma":[0.0001327861,0.0002638479,0.009837684,0.001658693,0.000300539,0.0003187362,0.003145733,0.1920539,0.01472921,0.06528748,0.7118306,0.0004406794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1039449,0.00472953,0.4795619,0.01237953,0.002733178,0.001214143,0.04329908,0.01426832,0.3378694],"genre_scores_gemma":[0.4137124,0.006649766,0.2313426,0.001762081,0.0003644209,0.001655025,0.04655471,0.008664781,0.2892942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0819496,"threshold_uncertainty_score":0.1629452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02566157262529403,"score_gpt":0.2833235876650731,"score_spread":0.257662015039779,"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."}}