{"id":"W6893234831","doi":"10.5281/zenodo.14968799","title":"ilaneshaw/PS: PS","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Categorical variable; Smoothing; Piecewise; Point (geometry)","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":["insufficient_payload"],"category_scores_codex":[0.001214394,0.0008913989,0.0006602083,0.001880981,0.0007292413,0.002422843,0.001296754,0.0009589695,0.3645076],"category_scores_gemma":[0.003330335,0.0006926496,0.0005170226,0.001978732,0.0006250804,0.00181899,0.001921136,0.001177403,0.1953101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008237479,"about_ca_system_score_gemma":0.001494402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006401003,"about_ca_topic_score_gemma":0.008703721,"domain_scores_codex":[0.99923,0.00009342634,0.00003316643,0.0002679111,0.000306148,0.00006939652],"domain_scores_gemma":[0.9983487,0.0003690659,0.0001260688,0.0004912633,0.0003973336,0.0002675306],"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":[0.0003517715,0.00006014131,0.001288324,0.0002048336,0.00003122703,0.0001177778,0.0001414445,0.002711311,0.002738836,0.01862898,0.6644111,0.3093142],"study_design_scores_gemma":[0.0001467772,0.00005131829,0.002566751,0.00006115745,0.00002097245,0.0002129286,0.00005654338,0.01347483,0.004163705,0.01772453,0.9614815,0.00003900795],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0080665,0.0009253619,0.2526475,0.002120402,0.0007941682,0.0002917101,0.05914493,0.09844626,0.5775632],"genre_scores_gemma":[0.06987336,0.0008895508,0.173141,0.0006053556,0.0003957443,0.0005178098,0.06949436,0.06292677,0.6221561],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6354924,"threshold_uncertainty_score":0.9064528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0281294897592053,"score_gpt":0.2528529793622659,"score_spread":0.2247234896030606,"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."}}