{"id":"W3006815155","doi":"10.1111/clr.13592","title":"Virtual implant planning and fully guided implant surgery using magnetic resonance imaging—Proof of principle","year":2020,"lang":"en","type":"article","venue":"Clinical Oral Implants Research","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Implant; Radiation treatment planning; Surgical planning; Medicine; Magnetic resonance imaging; Workflow; Maxillary sinus; Dental implant; Computer science; Dentistry; Radiology; Surgery; Radiation therapy","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":[0.001072564,0.0007173274,0.0004518018,0.0004652288,0.0002515254,0.001135547,0.001338407,0.0009396484,0.003539273],"category_scores_gemma":[0.00173422,0.000644919,0.000728631,0.0001761875,0.0008161382,0.0006035816,0.001954501,0.0006243524,0.0009483276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002175656,"about_ca_system_score_gemma":0.001099963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004484449,"about_ca_topic_score_gemma":0.0005288919,"domain_scores_codex":[0.9989001,0.0002110798,0.0000516533,0.0001387302,0.0006360505,0.00006247558],"domain_scores_gemma":[0.9993624,0.0002106628,0.00007589373,0.0002005247,0.00008811412,0.00006231986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009383756,0.0006447057,0.003204232,0.0009289715,0.0001746951,0.001569082,0.0006954862,0.06633468,0.4881432,0.007706249,0.004542971,0.4251173],"study_design_scores_gemma":[0.0009389585,0.005793089,0.01951209,0.0004837665,0.0003522018,0.04224357,0.0003967199,0.4161542,0.3871609,0.01688866,0.1093945,0.0006814171],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04368488,0.00070378,0.9485505,0.0002467312,0.000120497,0.0002906361,0.0001176538,0.001866622,0.004418764],"genre_scores_gemma":[0.2062256,0.000402311,0.791151,0.0001076775,0.00005545962,0.0002720286,0.0001249417,0.0002052216,0.001455593],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003539273,"threshold_uncertainty_score":0.01184005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3838034545534945,"score_gpt":0.5251628982856006,"score_spread":0.1413594437321061,"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."}}