{"id":"W2400272488","doi":"","title":"A survey on radiographic prescription practices in dental implant assessment among dentists in Kerala, India.","year":2014,"lang":"en","type":"article","venue":"PubMed","topic":"Dental Radiography and Imaging","field":"Dentistry","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"Medicine; Dentistry; Radiography; Implant; Modalities; Dental implant; Medical prescription; Osseointegration; Oral and maxillofacial radiology; Cone beam computed tomography; Computed tomography; Family medicine; Medical physics; Radiology; Periodontology; Nursing; Surgery","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009420688,0.0001173601,0.0002014458,0.0009369445,0.0004469461,0.0005095408,0.0003632322,0.0004294383,0.001282714],"category_scores_gemma":[0.00239074,0.0003130435,0.0001975121,0.001234434,0.0003582754,0.0003976251,0.0003917715,0.0003298642,0.0002395662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005964493,"about_ca_system_score_gemma":0.0009894191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01214806,"about_ca_topic_score_gemma":0.01861674,"domain_scores_codex":[0.999134,0.0001926634,0.0001428646,0.00008103155,0.0003109396,0.0001385283],"domain_scores_gemma":[0.9973393,0.0006811622,0.001292596,0.0000715362,0.0002828691,0.0003325307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002672566,0.0001030347,0.9860411,0.000177656,0.00001349427,0.000342767,0.005466806,0.00002685445,0.0005334758,0.00002686083,0.0003210622,0.006920134],"study_design_scores_gemma":[0.000002391534,0.0001991353,0.9891337,0.00005658548,0.00001030253,0.001003719,0.00867841,0.00006136904,0.0000737852,0.000007381458,0.0007665707,0.000006756773],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989057,0.0003732881,0.00003018305,0.0001448895,0.000002609248,0.00001368629,0.0001196051,0.00000341488,0.0004067099],"genre_scores_gemma":[0.9987312,0.0007398921,0.0001112873,0.0001035172,0.00000520292,0.00001537733,0.0000897659,0.000001065549,0.0002026325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01214806,"threshold_uncertainty_score":0.02415466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02425714209655006,"score_gpt":0.2836423223231028,"score_spread":0.2593851802265527,"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."}}