{"id":"W6992865529","doi":"","title":"MULTintelligents.info le site québécois des intelligences multiples","year":2011,"lang":"fr","type":"other","venue":"Bibliothèque et Archives nationales du Québec (Québec government)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Power (physics); Feature (linguistics); Interpretation (philosophy)","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":[0.0008903977,0.001147693,0.0007721022,0.00463659,0.002292843,0.005120354,0.001680502,0.001327792,0.6713784],"category_scores_gemma":[0.003508511,0.0007099257,0.0005203644,0.006302964,0.0004823017,0.002444698,0.0013477,0.001249153,0.3958668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006704131,"about_ca_system_score_gemma":0.008139135,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7329254,"about_ca_topic_score_gemma":0.7864975,"domain_scores_codex":[0.9993426,0.0000413918,0.0000217872,0.00008348592,0.0003614654,0.0001492616],"domain_scores_gemma":[0.9965282,0.0003596097,0.0001463052,0.0004478946,0.001636141,0.0008817529],"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":[0.00003186464,0.00001399061,0.0004755029,0.00007053121,0.000003433546,0.00002370991,0.0000601683,0.00005124907,0.00009131475,0.002089916,0.9783918,0.01869646],"study_design_scores_gemma":[0.00002367393,0.000004330753,0.002389577,0.00005626955,0.000003290113,0.00001628582,0.00006275813,0.0001583719,0.0002250102,0.0002766638,0.9967699,0.00001384104],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001307235,0.0006866909,0.001135366,0.001366289,0.0003097057,0.0001405022,0.3265453,0.01174514,0.6567638],"genre_scores_gemma":[0.008784852,0.000544648,0.001436702,0.0003586488,0.0001221289,0.0000943764,0.1209641,0.004125278,0.8635693],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6713784,"threshold_uncertainty_score":0.5372949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02148859706402044,"score_gpt":0.2347028827851177,"score_spread":0.2132142857210972,"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."}}