{"id":"W4394041064","doi":"10.5281/zenodo.4661590","title":"FavHydatStations","year":2021,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.001432076,0.002571862,0.001146517,0.007395103,0.001215995,0.00250003,0.00183447,0.00167589,0.06190056],"category_scores_gemma":[0.007201468,0.0007112504,0.001957433,0.009109487,0.000655024,0.002117881,0.002456571,0.001807609,0.06710427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00118092,"about_ca_system_score_gemma":0.002487458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02371067,"about_ca_topic_score_gemma":0.04960588,"domain_scores_codex":[0.9980659,0.0002500685,0.0002874195,0.0005894426,0.0005071015,0.000300114],"domain_scores_gemma":[0.9964274,0.0008583233,0.0002715211,0.001325861,0.0007385997,0.0003783676],"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":[0.0001923677,0.00004723634,0.002318158,0.0009005676,0.00004653866,0.00005133749,0.00008120503,0.0004059137,0.000801962,0.0008441702,0.9878156,0.006494883],"study_design_scores_gemma":[0.0002993167,0.00005439594,0.008701421,0.0003008633,0.00004921796,0.0001387307,0.0002259048,0.0009147816,0.001713936,0.001784758,0.9857634,0.0000533709],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005141284,0.0000831626,0.0001728121,0.00004781026,0.0000444007,0.00002713356,0.9962541,0.001875735,0.0009807238],"genre_scores_gemma":[0.0007466108,0.0000537313,0.0006944232,0.00003196254,0.000007924868,0.00006744654,0.9976771,0.0002080886,0.0005127069],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06190056,"threshold_uncertainty_score":0.207078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03898168976693661,"score_gpt":0.2591365113072914,"score_spread":0.2201548215403548,"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."}}