{"id":"W2611591568","doi":"10.18261/97882150279999-2016","title":"Vi kan lykkes i realfag","year":2016,"lang":"da","type":"book","venue":"Universitetsforlaget eBooks","topic":"Social and Educational Sciences","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.0009580373,0.0006469426,0.000676342,0.000464812,0.003398309,0.0002803968,0.001965145,0.0008811005,0.004947261],"category_scores_gemma":[0.0001515464,0.0005690412,0.0005757116,0.0002961668,0.003386979,0.0004930743,0.0003458021,0.0004834489,0.002638696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00161874,"about_ca_system_score_gemma":0.004602022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003653756,"about_ca_topic_score_gemma":0.001892051,"domain_scores_codex":[0.995136,0.0003595254,0.0004977467,0.00108814,0.001598103,0.001320437],"domain_scores_gemma":[0.9968125,0.0007825912,0.0006649643,0.0005147106,0.0004216052,0.0008036257],"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":[0.00006463093,0.00008051741,0.0003667948,0.00006212288,0.0002393383,0.000088381,0.0502095,5.583264e-7,0.0001132176,0.6989648,0.1622874,0.08752269],"study_design_scores_gemma":[0.0003488277,0.0001229356,0.0001554839,0.0003183838,0.0001643925,0.000003032045,0.02000738,0.000001932757,0.00003166058,0.05272643,0.9252906,0.0008288925],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002127941,0.0001938085,0.00004527237,0.002988493,0.004286582,0.0006337053,0.0002423939,0.0002109046,0.9892709],"genre_scores_gemma":[0.03957306,0.0003566306,0.0001092516,0.0005405171,0.003292687,0.000007515141,0.00006730985,0.00004652474,0.9560065],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7630032,"threshold_uncertainty_score":0.9996761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02380647444478767,"score_gpt":0.2676136607050775,"score_spread":0.2438071862602899,"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."}}