{"id":"W6950320663","doi":"10.5281/zenodo.4041535","title":"FilM~complet@!]]]~AFTER CHAPITRE 2 (2020) Streaming vF","year":2020,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Paraphernalia; Laziness; Feature (linguistics)","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":["insufficient_payload"],"category_scores_codex":[0.0004284671,0.0008615215,0.0004530704,0.001241987,0.002443425,0.006042305,0.001327655,0.001670092,0.8720958],"category_scores_gemma":[0.002419075,0.00051219,0.0007659325,0.001158657,0.0005721988,0.003807879,0.003717637,0.003159686,0.7641573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002251464,"about_ca_system_score_gemma":0.001726351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01048457,"about_ca_topic_score_gemma":0.0339757,"domain_scores_codex":[0.9994967,0.00003448197,0.00001513898,0.00007939362,0.0002401159,0.0001341689],"domain_scores_gemma":[0.9984618,0.0000840143,0.000035263,0.0002018235,0.0006209036,0.0005961644],"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":[0.00001017593,0.000004009193,0.00001863212,0.00004783511,8.627383e-7,0.00001991263,0.00003000538,0.00001627013,0.0002623768,0.001337935,0.9900547,0.008197179],"study_design_scores_gemma":[0.000004684458,0.000004312872,0.0001559566,0.00004418521,9.069085e-7,0.00002598998,0.00007724092,0.00002008147,0.0001898153,0.0004258091,0.9990459,0.000004922688],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004967718,0.0008388023,0.001378976,0.003586765,0.00991824,0.0002135561,0.008078177,0.007515778,0.967973],"genre_scores_gemma":[0.002127372,0.000516837,0.0009285702,0.0009341459,0.001164305,0.00008573439,0.004020993,0.004188057,0.9860341],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1279042,"threshold_uncertainty_score":0.1824397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04408176180292007,"score_gpt":0.2190127836721001,"score_spread":0.17493102186918,"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."}}