{"id":"W7020008550","doi":"","title":"Inépuisable Québec !","year":2000,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":[0.0003846843,0.001041121,0.000622776,0.00113584,0.005190114,0.003638105,0.0009169548,0.001366499,0.4967222],"category_scores_gemma":[0.00101569,0.0003974127,0.0005441103,0.002249743,0.000811681,0.001222579,0.00138913,0.001753249,0.08025192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01911662,"about_ca_system_score_gemma":0.02635554,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9639978,"about_ca_topic_score_gemma":0.9796358,"domain_scores_codex":[0.9995201,0.00003400851,0.00001429025,0.00007688723,0.0001852336,0.0001694184],"domain_scores_gemma":[0.9993493,0.00002911979,0.00002829812,0.00004737124,0.0003909935,0.0001548352],"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":[0.0001231334,0.00005230372,0.002702255,0.0002416304,0.00002514811,0.000282357,0.0002588408,0.0002335853,0.0005939437,0.02728567,0.8512433,0.1169578],"study_design_scores_gemma":[0.00001014811,0.000006167908,0.004169284,0.00006698039,0.000005865489,0.00003523145,0.0001823068,0.00008716874,0.0001530323,0.0004718837,0.9948028,0.000009243933],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0076248,0.009261947,0.0007097393,0.01090351,0.002578842,0.000102091,0.01554971,0.0007814388,0.9524878],"genre_scores_gemma":[0.007823646,0.0009855747,0.0002936223,0.0004665517,0.00003702497,0.00001265846,0.001088579,0.00008881007,0.9892035],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4967222,"threshold_uncertainty_score":0.7178648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00400421947269342,"score_gpt":0.1425880289437869,"score_spread":0.1385838094710935,"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."}}