{"id":"W7001756925","doi":"","title":"2018 04 09 L'ex joueur du Canadien Steeve Bégin","year":2018,"lang":"fr","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Functional analysis; Genetic inheritance; Moore–Penrose pseudoinverse","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002200927,0.0008512062,0.0007353934,0.001479779,0.00298052,0.007215456,0.001111645,0.002801517,0.8004245],"category_scores_gemma":[0.004560547,0.0003746415,0.0006750961,0.001162172,0.0009213664,0.002177075,0.004035581,0.00359101,0.639918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002800579,"about_ca_system_score_gemma":0.007106996,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04071275,"about_ca_topic_score_gemma":0.08670524,"domain_scores_codex":[0.9982702,0.0001602963,0.00003615387,0.0001817627,0.0009276966,0.0004238754],"domain_scores_gemma":[0.9963349,0.000259213,0.0001045066,0.0002827627,0.001411373,0.001607245],"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":[0.00005445877,0.00003110605,0.0001708832,0.00005437868,0.000001716866,0.00007386239,0.0001172449,0.00002418857,0.0002448795,0.002485188,0.9738705,0.02287157],"study_design_scores_gemma":[0.000002884299,0.000007938917,0.000211875,0.00002206107,4.668996e-7,0.00001049265,0.00005153608,0.000006202087,0.0000521469,0.0001025549,0.9995297,0.000002045204],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007601294,0.001189885,0.0007167237,0.008473781,0.006538849,0.0001810096,0.004450207,0.00187643,0.975813],"genre_scores_gemma":[0.001312286,0.0002981445,0.0002377956,0.0005000314,0.0002234347,0.00003853119,0.0007863066,0.0006635069,0.99594],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9592872,"threshold_uncertainty_score":0.2846702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005616357108448835,"score_gpt":0.176074667694055,"score_spread":0.1704583105856062,"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."}}