{"id":"W6944918506","doi":"10.22008/fk2/cs5lka/1vr09t","title":"w50tf3.rtl","year":2022,"lang":"cs","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Apotex Pharmachem (Canada)","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001053887,0.002693941,0.001854477,0.0040479,0.0007273847,0.003058413,0.003454251,0.002386453,0.3016473],"category_scores_gemma":[0.005669712,0.001227879,0.001443802,0.008935653,0.000485774,0.002012844,0.002415358,0.001773936,0.3634924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001072089,"about_ca_system_score_gemma":0.001765579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02235749,"about_ca_topic_score_gemma":0.03126512,"domain_scores_codex":[0.9990483,0.0001476578,0.0001207318,0.0002991711,0.0001744331,0.0002096653],"domain_scores_gemma":[0.998253,0.0004944433,0.0001602449,0.0004971388,0.0003848351,0.0002102404],"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":[0.00002693869,0.000007740523,0.0001778888,0.0003389574,0.00001521431,0.000006469615,0.00001364083,0.0001556218,0.00005252223,0.0002796868,0.9980857,0.000839539],"study_design_scores_gemma":[0.000283673,0.00001360454,0.001437961,0.000173244,0.00002487275,0.00002253834,0.00005243357,0.000341813,0.0002137628,0.001387707,0.9960237,0.0000246558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002308041,0.00001180462,0.00003609959,0.00001967237,0.00000891846,0.000003685027,0.9991038,0.0003881245,0.0004047655],"genre_scores_gemma":[0.0001673142,0.00002610153,0.0001488031,0.00003035139,0.00000476289,0.00004428251,0.9988047,0.0002443418,0.0005293225],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6983527,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04846694628670981,"score_gpt":0.2648597907632374,"score_spread":0.2163928444765276,"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."}}