{"id":"W6925334747","doi":"10.1594/pangaea.967702","title":"Track of GPS-Drifter M184_122-3 (Drifter_222)","year":2024,"lang":"en","type":"dataset","venue":"Publishing Network for Geoscientific and Environmental Data (PANGAEA) (Alfred Wegener Institute for Polar and Marine Research)","topic":"Assisted Reproductive Technology and Twin Pregnancy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Track (disk drive); Meteor (satellite); Hydrography; Underwater; Flow (mathematics); Mooring; Drifter; Heading (navigation)","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":[0.0006832813,0.001316773,0.001008298,0.002399429,0.000462416,0.00111521,0.001590456,0.0009579257,0.03771776],"category_scores_gemma":[0.002275442,0.0003691495,0.0005695267,0.005175127,0.0002258339,0.0005794336,0.0008988227,0.0009298694,0.06595267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007488975,"about_ca_system_score_gemma":0.001423286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02081575,"about_ca_topic_score_gemma":0.03341233,"domain_scores_codex":[0.9994043,0.00009661572,0.00007283498,0.0002327716,0.0001026662,0.00009086073],"domain_scores_gemma":[0.9990716,0.0001391509,0.0001787599,0.0002205698,0.0002925963,0.00009728632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001754266,0.00004084355,0.006958743,0.0006047112,0.00006182313,0.00006532603,0.00004591511,0.0005891916,0.0003872357,0.0005722678,0.9851763,0.005322113],"study_design_scores_gemma":[0.0002740759,0.00004000699,0.02288269,0.0002038749,0.00004040693,0.0001000061,0.0001220985,0.000674472,0.0005594374,0.000687964,0.9743853,0.00002967945],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005158401,0.00003811989,0.00007124886,0.00002004927,0.00001129184,0.000009922371,0.998641,0.0001102346,0.0005824192],"genre_scores_gemma":[0.0007228731,0.00002240878,0.0002322709,0.00001400905,0.000004213322,0.0000402616,0.9983963,0.00002123645,0.0005463244],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03771776,"threshold_uncertainty_score":0.1261785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06661838974015273,"score_gpt":0.3162909023687766,"score_spread":0.2496725126286239,"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."}}