{"id":"W6961980378","doi":"10.15468/dl.ppmr2n","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Context (archaeology); Set (abstract data type)","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":[0.0007869547,0.001908018,0.001403009,0.004941367,0.001019993,0.002457931,0.00263368,0.002046142,0.133908],"category_scores_gemma":[0.005710476,0.0008235564,0.001146365,0.009535779,0.0004277554,0.002273415,0.002460935,0.00186675,0.1941651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001669587,"about_ca_system_score_gemma":0.002356433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02798848,"about_ca_topic_score_gemma":0.04626983,"domain_scores_codex":[0.9990221,0.0001219979,0.0001279252,0.0003317236,0.0002320331,0.0001642995],"domain_scores_gemma":[0.9978179,0.0006073098,0.0001979781,0.0005376228,0.0005920295,0.0002472865],"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":[0.0000297822,0.00001269418,0.0004609233,0.0004747736,0.00001280517,0.00001975131,0.00002574244,0.0001354829,0.0001027384,0.0003800662,0.9968463,0.001498914],"study_design_scores_gemma":[0.00006736406,0.000008324791,0.002092521,0.0001845933,0.00001313872,0.0000467484,0.00009598307,0.0001987395,0.0001828515,0.0007243956,0.9963677,0.00001771534],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005810909,0.00002925776,0.00004975062,0.00004205835,0.00001235756,0.000005806729,0.9986198,0.0004511527,0.0007316987],"genre_scores_gemma":[0.000185848,0.00003275863,0.0002007232,0.00004350438,0.000003398339,0.00003754675,0.9988758,0.0001385112,0.0004818627],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.866092,"threshold_uncertainty_score":0.447967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01243569817890303,"score_gpt":0.1928200403092115,"score_spread":0.1803843421303085,"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."}}