{"id":"W7001322607","doi":"","title":"Inhuman humans and very good Greenlanders: images of Inuit people in Dutch whaling reports of the 18th century","year":2023,"lang":"en","type":"other","venue":"Carl von Ossiezky University of Oldenburg","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Whaling; Ridiculous; Government (linguistics); Population","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004882204,0.000207426,0.0008091049,0.0002773131,0.0006051176,0.000002036746,0.0002669777,0.0004252648,0.000645611],"category_scores_gemma":[0.00007505216,0.0001926431,0.0001329878,0.0002920837,0.0002880314,0.00004862276,0.000544174,0.0004916231,0.000004393021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002674349,"about_ca_system_score_gemma":0.0004128759,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05522803,"about_ca_topic_score_gemma":0.4774318,"domain_scores_codex":[0.9983227,0.0001835398,0.0004515304,0.0003339341,0.0002188453,0.0004894868],"domain_scores_gemma":[0.9980411,0.0002049469,0.001080899,0.0004724192,0.0001494501,0.00005116943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005654367,0.0001220946,0.7044622,0.002515364,0.0003276493,0.0002067408,0.2146712,0.000007712193,0.0001399482,0.0001472126,0.07697415,0.0003691476],"study_design_scores_gemma":[0.002394133,0.0003301077,0.5355005,0.004690224,0.0004365685,0.00001028527,0.3834608,0.000003283885,0.00004479772,0.0001512225,0.0723481,0.000629994],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9000517,0.001617347,0.00000351384,0.0001895748,0.00128536,0.001223048,0.0002196716,0.00008209878,0.09532775],"genre_scores_gemma":[0.8700802,0.003458053,0.00002017749,0.00002389472,0.0001088031,0.000001846745,0.00001373022,0.000140254,0.1261531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4222037,"threshold_uncertainty_score":0.9510633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01855996630565713,"score_gpt":0.2758664512876317,"score_spread":0.2573064849819745,"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."}}