{"id":"W7053740407","doi":"","title":"Voir et faire au cinÃ©ma : dÃ©marche et dÃ©filement","year":2005,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Expansive; Limiting; Homogeneous","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00002731931,0.0005712665,0.0005227264,0.00005393039,0.0001776936,0.00005283937,0.0004606304,0.0001144528,0.003953202],"category_scores_gemma":[0.000003309584,0.0005946689,0.00008195032,0.0001287612,0.0001216178,0.0002910313,0.0002266705,0.0004644268,1.697869e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007894115,"about_ca_system_score_gemma":0.003751251,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01807358,"about_ca_topic_score_gemma":0.269682,"domain_scores_codex":[0.9966406,0.0001324,0.0005255271,0.0004830222,0.001573136,0.0006453367],"domain_scores_gemma":[0.9983904,0.000345178,0.0002084532,0.0004937056,7.987541e-7,0.0005615166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001193391,0.0001304853,0.003059671,0.001265781,0.0005703664,0.0001239105,0.0006070223,0.003665925,0.008291711,0.7674655,0.1339289,0.08077136],"study_design_scores_gemma":[0.0004640509,0.00004918321,0.01372785,0.0004608885,0.00007326221,0.000008859432,0.00075613,0.003469937,0.009227818,0.0007465809,0.9703764,0.0006390468],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001310387,0.001064722,0.001215902,0.03035268,0.0003875986,0.0005337272,0.001943712,0.00004722389,0.9631441],"genre_scores_gemma":[0.1734727,0.001238956,0.00592945,0.003546918,0.0004151225,0.00008740024,0.0001408283,0.0002615089,0.8149071],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8364475,"threshold_uncertainty_score":0.9996505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004797533928525952,"score_gpt":0.1572638406963281,"score_spread":0.1524663067678022,"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."}}