{"id":"W7069028805","doi":"","title":"Clichés","year":2018,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Petro-Canada","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":[],"consensus_categories":[],"category_scores_codex":[0.001821131,0.001504545,0.0007834186,0.00360355,0.003862798,0.005773328,0.001777386,0.002349644,0.5712389],"category_scores_gemma":[0.01033312,0.000407618,0.0007717384,0.00181407,0.001417277,0.002100912,0.003484671,0.002430125,0.285579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005188721,"about_ca_system_score_gemma":0.006116192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02551812,"about_ca_topic_score_gemma":0.04109574,"domain_scores_codex":[0.9974935,0.0003978035,0.00009404935,0.0004065007,0.001272971,0.00033519],"domain_scores_gemma":[0.9960104,0.0005318289,0.0001545721,0.0004907692,0.001908281,0.0009040535],"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":[0.00008626623,0.00004990926,0.000534959,0.0001395037,0.000009620844,0.0003234917,0.0002889613,0.00008496144,0.0004874028,0.03178284,0.8154542,0.1507578],"study_design_scores_gemma":[0.000006443271,0.000006953356,0.0002542017,0.00007311143,0.000002757705,0.0001848962,0.00008733402,0.00002770914,0.0001436334,0.001343387,0.9978636,0.000005974649],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003030445,0.01387843,0.004890081,0.02644439,0.02144377,0.0002014772,0.003470234,0.002042013,0.9245992],"genre_scores_gemma":[0.009047715,0.002742934,0.001369561,0.002824999,0.001971748,0.00006327896,0.0009153433,0.0004942071,0.9805701],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5712389,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007184041723644105,"score_gpt":0.1733991867555771,"score_spread":0.166215145031933,"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."}}