{"id":"W4296677300","doi":"10.56373/2010-1-10","title":"Implantathistorik","year":2010,"lang":"en","type":"article","venue":"˜Den œNorske tannlegeforenings tidende","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":0,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006717847,0.001537117,0.001063804,0.003443436,0.00117959,0.00401485,0.001205912,0.001559913,0.4887345],"category_scores_gemma":[0.001979729,0.0007535107,0.0006709725,0.00243833,0.0007367595,0.002564265,0.002886954,0.003532529,0.463234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001123558,"about_ca_system_score_gemma":0.001499306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001186578,"about_ca_topic_score_gemma":0.00167187,"domain_scores_codex":[0.9990101,0.00007790231,0.0002199041,0.0001416412,0.0004662616,0.00008413598],"domain_scores_gemma":[0.9992817,0.0001532466,0.00006352461,0.0001479229,0.0002760176,0.00007768264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001552543,0.000058174,0.0002996639,0.001365365,0.00001737402,0.001292393,0.0001849723,0.0002582288,0.001545725,0.008205168,0.3411992,0.6454185],"study_design_scores_gemma":[0.00001198235,0.00001488057,0.0002431232,0.0002043721,0.000004486748,0.001253467,0.00004002948,0.00005854432,0.0003620541,0.001343947,0.9964541,0.000008921287],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003051906,0.06280337,0.01410247,0.009781716,0.02638834,0.0004746043,0.01644563,0.004935502,0.8620164],"genre_scores_gemma":[0.01605948,0.03534243,0.009064769,0.003309591,0.00346509,0.0004121088,0.01095661,0.003055687,0.9183342],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4887345,"threshold_uncertainty_score":0.7292582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01024450643679015,"score_gpt":0.2750596628756262,"score_spread":0.2648151564388361,"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."}}