{"id":"W4407276160","doi":"10.70266/9783886177196","title":"10.70266/9783886177196","year":2000,"lang":"en","type":"book","venue":"Time to knit","topic":"Social and Demographic Issues in Germany","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007456569,0.001549998,0.0009472305,0.001929875,0.001715302,0.006278619,0.001730959,0.003348311,0.9656894],"category_scores_gemma":[0.002051933,0.0007408628,0.0006228105,0.003376486,0.001240705,0.005743051,0.003985986,0.001919581,0.9688413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001013708,"about_ca_system_score_gemma":0.001014871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002943244,"about_ca_topic_score_gemma":0.004477342,"domain_scores_codex":[0.9993811,0.00008680337,0.00004740194,0.0001706856,0.0002248086,0.00008923568],"domain_scores_gemma":[0.9988067,0.0003718733,0.00007503464,0.0002004415,0.0002475734,0.0002984042],"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":[0.00004756201,0.00005296679,0.0002489698,0.0003199564,0.000005668907,0.00009073703,0.0001559765,0.00008593063,0.0004505991,0.005670338,0.7348146,0.2580567],"study_design_scores_gemma":[0.000007444217,0.00001039986,0.0004069555,0.0001514284,0.000002420887,0.00008289437,0.00009723809,0.00004091888,0.0000696347,0.0005486358,0.9985763,0.000005611585],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001995735,0.0006274606,0.0003573803,0.0004746997,0.0002803695,0.00004298564,0.0006717106,0.0006787188,0.996667],"genre_scores_gemma":[0.0005407232,0.0003702626,0.0001500318,0.0002286288,0.00005366012,0.00003418996,0.0003556876,0.0002374884,0.9980293],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03431058,"threshold_uncertainty_score":0.04893982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02419247631557558,"score_gpt":0.3212309126559029,"score_spread":0.2970384363403273,"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."}}