{"id":"W6930240656","doi":"10.5281/zenodo.11584121","title":"The Kinomatics Australian Film Production Dataset","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Inorganic Fluorides and Related Compounds","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Documentation; Table (database); Column (typography); Production (economics); Scope (computer science); Identifier; Feature (linguistics); Technical documentation","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":[0.0009235251,0.0006112628,0.0005919021,0.003754118,0.001085795,0.001361946,0.001514332,0.0008186217,0.04744304],"category_scores_gemma":[0.006252039,0.0004517542,0.0005494648,0.005455033,0.0003400046,0.001263197,0.002006473,0.001225288,0.04421333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001784396,"about_ca_system_score_gemma":0.002055452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07231646,"about_ca_topic_score_gemma":0.1359208,"domain_scores_codex":[0.9988809,0.0002279565,0.0001202745,0.0002296759,0.0004136761,0.0001275023],"domain_scores_gemma":[0.9971719,0.0004254423,0.0002834667,0.0005866995,0.00125436,0.0002780705],"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":[0.00004327852,0.00003149856,0.002509745,0.000488283,0.00001950651,0.00007661318,0.0003415516,0.0001444057,0.0002221547,0.0009291398,0.9849166,0.01027711],"study_design_scores_gemma":[0.00002274831,0.00002034969,0.03781197,0.0002344735,0.00001778557,0.0001197377,0.0005723828,0.0006359517,0.0003261989,0.0006866985,0.9595153,0.00003642916],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005345186,0.0003567374,0.0006320521,0.0003796315,0.0001302928,0.0001726362,0.9814605,0.0005399456,0.01098298],"genre_scores_gemma":[0.006266174,0.0001912724,0.001853157,0.0001451405,0.00003155906,0.0004805535,0.9806607,0.0001169878,0.01025444],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07231646,"threshold_uncertainty_score":0.1587127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02659661843359473,"score_gpt":0.2494920107288014,"score_spread":0.2228953922952067,"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."}}