{"id":"W7067855767","doi":"","title":"Nova et compendiosa inclÃ¿tae urbis et agri Bernensis descriptio geographica","year":2014,"lang":"fr","type":"other","venue":"reroDoc Digital Library","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Archipelago; Population; Nova scotia","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":[0.0006476408,0.0009084061,0.000496005,0.008090787,0.001190329,0.004290438,0.0008623095,0.0006417285,0.09225512],"category_scores_gemma":[0.001524278,0.0003112366,0.0003934332,0.009781007,0.001094952,0.001941873,0.001726545,0.001132754,0.03670885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002188678,"about_ca_system_score_gemma":0.003991567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0640149,"about_ca_topic_score_gemma":0.104023,"domain_scores_codex":[0.9993572,0.00007738503,0.00005995304,0.000109776,0.0003143068,0.00008153162],"domain_scores_gemma":[0.9991907,0.00015697,0.0001038087,0.000179797,0.0002944041,0.0000742003],"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":[0.0001037648,0.00003465139,0.003967484,0.002394096,0.00002858079,0.0002514233,0.002320006,0.0003898404,0.002523196,0.07548981,0.5587865,0.3537108],"study_design_scores_gemma":[0.00000117626,0.000002060222,0.001730273,0.00009801375,0.000002445536,0.00005947618,0.0001354133,0.00001929383,0.0001284916,0.0004799435,0.9973401,0.000003293641],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007392472,0.02594136,0.004050173,0.002983055,0.002973041,0.000106068,0.04422997,0.001754581,0.9105693],"genre_scores_gemma":[0.04120005,0.02870313,0.01046374,0.0007680666,0.001127008,0.0002625821,0.04547729,0.003093048,0.8689051],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09225512,"threshold_uncertainty_score":0.3086241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02430165714326572,"score_gpt":0.18844824727307,"score_spread":0.1641465901298043,"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."}}