{"id":"W6969190906","doi":"10.5281/zenodo.8356278","title":"Cite.Software","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Dementia Research Alliance","funders":"","keywords":"Software; Leverage (statistics); Plan (archaeology); Work (physics); Software walkthrough; Citation; Key (lock)","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":[0.01059843,0.002842529,0.002575119,0.009470654,0.002739692,0.01138446,0.007147051,0.005902968,0.4209129],"category_scores_gemma":[0.05729789,0.002568051,0.002904221,0.009739893,0.002045494,0.01448068,0.008725285,0.005520622,0.4662327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00262607,"about_ca_system_score_gemma":0.005441249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00378756,"about_ca_topic_score_gemma":0.003843345,"domain_scores_codex":[0.9917142,0.001325314,0.0009446505,0.001201516,0.004278468,0.0005358298],"domain_scores_gemma":[0.9556404,0.01720083,0.002590185,0.01065248,0.01109428,0.002821749],"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":[0.0002120935,0.00006856631,0.0004710015,0.001250945,0.0000508588,0.0001288776,0.000246731,0.0002559529,0.0009059294,0.01108894,0.890573,0.09474707],"study_design_scores_gemma":[0.00008994432,0.00005184784,0.0006148706,0.0002812931,0.00002637648,0.0002002248,0.00005496922,0.0008313572,0.001252525,0.01486484,0.9816293,0.0001024985],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.0006481937,0.001138568,0.07862397,0.002825289,0.001234435,0.0005849606,0.04744717,0.7442079,0.1232896],"genre_scores_gemma":[0.01056667,0.00258945,0.09633797,0.004986121,0.001397326,0.001804199,0.1835402,0.4737967,0.2249814],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4209129,"threshold_uncertainty_score":0.8259975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02008128463205392,"score_gpt":0.2240241825542985,"score_spread":0.2039428979222446,"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."}}