{"id":"W6930110145","doi":"10.5281/zenodo.11620573","title":"HYDROUSA Social Impact Assessment results","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Sport Psychology and Performance","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Deliverable; Ingenuity; Scope (computer science); Resource (disambiguation); Social impact assessment; LEAPS; Stakeholder","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":[0.003097387,0.001126337,0.0006221916,0.005537614,0.0006825026,0.001634398,0.001104353,0.0009078468,0.03800514],"category_scores_gemma":[0.01088723,0.0002540193,0.0009724123,0.006215708,0.0003026772,0.0008192362,0.001968533,0.0008152059,0.02264463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002150891,"about_ca_system_score_gemma":0.002204408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03272817,"about_ca_topic_score_gemma":0.05090795,"domain_scores_codex":[0.9965298,0.0008966372,0.0003274135,0.0004104646,0.001546266,0.0002894768],"domain_scores_gemma":[0.9943162,0.002253918,0.0004142343,0.0006773065,0.002058249,0.0002799871],"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":[0.0001867477,0.0001459759,0.01129971,0.001537553,0.0000836367,0.0001119857,0.0003687092,0.001989923,0.0004110932,0.002569548,0.9520002,0.0292949],"study_design_scores_gemma":[0.00008817756,0.00006482513,0.04486747,0.0004019456,0.00003955975,0.0000701005,0.0008803643,0.001182377,0.0006397849,0.001851898,0.9498638,0.00004969523],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003872631,0.00009414159,0.0002864359,0.0001981179,0.00002496219,0.000134654,0.985783,0.0003992474,0.009206905],"genre_scores_gemma":[0.006020101,0.0001216682,0.0009863912,0.00008186525,0.0000137769,0.0008998392,0.9873649,0.0001290368,0.004382535],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03800514,"threshold_uncertainty_score":0.1271399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05216186922850759,"score_gpt":0.3867015070119513,"score_spread":0.3345396377834437,"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."}}