{"id":"W2613775345","doi":"","title":"Tom Thomson à l’aune de la criminalistique météorologique / Tom Thomson in the Light of Forensic Meteorology / Phil Chadwick, Creative Scene Investigation","year":2013,"lang":"fr","type":"article","venue":"Ciel variable : art, photo, médias, culture","topic":"Forensic Fingerprint Detection Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008806537,0.0006553352,0.001012714,0.0002448044,0.0005188384,0.0002157117,0.0009555601,0.001938697,0.0114603],"category_scores_gemma":[0.004077229,0.000528384,0.0003024995,0.001830632,0.002719904,0.0007838919,0.0001745952,0.00190716,0.00008612972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006463238,"about_ca_system_score_gemma":0.0009455273,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01251823,"about_ca_topic_score_gemma":0.0003852854,"domain_scores_codex":[0.9865948,0.009607579,0.001018824,0.0009243895,0.0006791301,0.001175254],"domain_scores_gemma":[0.9954776,0.00190331,0.0008548434,0.0007663112,0.0006595802,0.000338328],"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":[0.0002496036,0.0007197341,0.003066073,0.00047282,0.0003087285,0.0000806048,0.0646968,0.0009811573,0.08543023,0.6182501,0.2064697,0.01927446],"study_design_scores_gemma":[0.001616278,0.001388107,0.008835069,0.0007077531,0.000533418,0.0002145637,0.02761872,0.004854887,0.110021,0.1635778,0.6794306,0.001201821],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1959963,0.003870263,0.007246408,0.006884715,0.001879713,0.002525958,0.00006186013,0.0001830911,0.7813517],"genre_scores_gemma":[0.5022296,0.004887938,0.3368602,0.06781289,0.003651554,0.002814164,0.0002294289,0.0003041697,0.08121],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7001417,"threshold_uncertainty_score":0.9999941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03212685294002953,"score_gpt":0.3068545401258057,"score_spread":0.2747276871857761,"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."}}