{"id":"W7039310924","doi":"","title":"L'utopie numérique : discours et réalités sur la numérisation des salles de cinéma illustrés par le cas de l'entreprise DigiScreen","year":2011,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); General interest; Scientific development","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001259322,0.0005254198,0.0002032389,0.000932158,0.008190249,0.007677709,0.001049384,0.002005624,0.01962469],"category_scores_gemma":[0.003255948,0.0002445572,0.0003833075,0.0008842048,0.009269891,0.004420101,0.005164141,0.004413982,0.002630276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00599556,"about_ca_system_score_gemma":0.004074828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01620565,"about_ca_topic_score_gemma":0.0410385,"domain_scores_codex":[0.9987099,0.0004584604,0.00002646242,0.0001606208,0.0003899449,0.0002546804],"domain_scores_gemma":[0.998364,0.0008701953,0.0002340141,0.0001118362,0.0002558423,0.0001640611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006197968,0.00007105478,0.002574376,0.000410839,0.000009066191,0.0007266162,0.251938,0.0002403435,0.002721781,0.6727987,0.02000375,0.0484434],"study_design_scores_gemma":[0.000005086475,0.0000455173,0.004052278,0.0004534799,0.000009358261,0.0003243851,0.07490127,0.0002681885,0.001529223,0.01681221,0.9015771,0.00002183186],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1434642,0.01002633,0.01048729,0.03036975,0.001061993,0.0001040288,0.00009483967,0.0001190236,0.8042725],"genre_scores_gemma":[0.6677578,0.007797822,0.003039043,0.003502371,0.0003290244,0.0001845325,0.00005977942,0.0001572461,0.3171724],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9918097,"threshold_uncertainty_score":0.06565112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002956461305299591,"score_gpt":0.1509165031265695,"score_spread":0.1479600418212699,"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."}}